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List of mass spectrometry software

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Mass spectrometry software is used for data acquisition, analysis, or representation in mass spectrometry.

Proteomics software

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Further information: protein mass spectrometry

In protein mass spectrometry, tandem mass spectrometry (also known as MS/MS or MS2) experiments are used for protein/peptide identification. Peptide identification algorithms fall into two broad classes: database search and de novo search. The former search takes place against a database containing all amino acid sequences assumed to be present in the analyzed sample. In contrast, the latter infers peptide sequences without knowledge of genomic data.

Database search algorithms

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Name Type Description
Andromeda Freeware Andromeda is a peptide search engine based on probabilistic scoring, developed by Jürgen Cox and others at the Max Planck Institute of Biochemistry. It can handle data with arbitrarily high fragment mass accuracy and is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides. It can function independently or integrated into other software, enabling analysis of large datasets on a desktop computer.[1]
Byonic Proprietary Byonic is a database search algorithm released in 2011 by Protein Metrics Inc. with original developments at PARC.[2] It searches MS/MS data from all types of instruments and internally employs the program Combyne,[3] which combines peptide identifications to produce protein scores and identification probabilities.
CHIMERYS Proprietary CHIMERYS is a cloud-native database search algorithm that makes heavy use of artificial intelligence for the identification of peptides and the deconvolution of chimeric spectra. CHIMERYS is developed by MSAID GmbH, which was started at the Technical University of Munich.
Comet Open source Comet is a command-line database search algorithm developed at the University of Washington. It takes in spectra in supported input formats and writes out .pep.xml, .pin.xml, .sqt and/or .out files.[4]
Greylag Open source Greylag is a database search algorithm developed at the Stowers Institute for Medical Research designed to perform large searches on computational clusters containing hundreds of nodes.
InsPecT Open source InsPecT is an MS-alignment search algorithm developed by the Center for Computational Mass Spectrometry at the University of California, San Diego.[5]
Mascot Proprietary Mascot performs mass spectrometry data analysis through a statistical evaluation of matches between observed and projected peptide fragments.[6]
MassMatrix Freeware MassMatrix is a database search algorithm for tandem mass spectrometric data. It uses a mass accuracy-sensitive, probabilistic scoring model to rank peptide and protein matches.
MassWiz Open source MassWiz is a search algorithm developed at the Institute of Genomics and Integrative Biology that can be used as a Windows command-line tool.[citation needed]
MetaMorpheus Open source MetaMorpheus is a proteomics search software developed at the University of Wisconsin-Madison with integrated calibration, post-translational modification discovery, bottom-up and top-down proteomics search, cross-linking mass spectrometry (XL-MS) search, proteogenomic search, and label-free quantification (LFQ) capabilities.[7]
MSFragger Freeware MSFragger is a database searching tool based on efficient fragment ion indexing developed at the University of Michigan. It is capable of open (mass-tolerant) searches for post-translational modification discovery, O- and N-linked glycoproteomics searches, semi- and non-enzymatic searches, and traditional database searches.[8]
MS-GF+ Open source MS-GF+ (also known as MSGF+ or MSGFPlus) performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database. MS-GF+ was developed at the Center for Computational Mass Spectrometry at the University of California, San Diego, with later work at Pacific Northwest National Laboratory (PNNL).
MS-LAMP Open Source MS-LAMP is a standalone software capable of aiding in interpreting electrospray ionization (ESI) and/or matrix-assisted laser desorption and ionization (MALDI) mass spectrometric data of lipids.[9]
MyriMatch Open source MyriMatch is a database search program developed at the Vanderbilt University Medical Center designed to run in a single-computer environment or across an entire cluster of processing nodes.[10]
NIST Mass Spectral Search v.3.0 Commercial Program This software contains the NIST/EPA/NIH Mass Spectral Library of electron ionization (EI) and the NIST Tandem Library of product-ion mass spectra in a searchable database. Additional features include the NIST MS Interpreter Program and AMDIS. It was developed by the National Institute of Standards and Technology.[11]
OMSSA Freeware The Open Mass Spectrometry Search Algorithm (OMSSA) is a search engine for identifying MS/MS peptide spectra by searching libraries of known protein sequences. OMSSA identifies significant hits with a probability score developed using classical hypothesis testing, the same statistical method used in BLAST. It is developed at the National Center for Biotechnology Information.[12][13]
PEAKS DB Proprietary Peaks DB is a database search engine, run in parallel with de novo sequencing to automatically validate search results, allowing for more found sequences for a given false discovery rate. In addition to providing an independent database search, results can be incorporated as part of the software's multi-engine (Sequest, Mascot, X!Tandem, OMSSA, PEAKS DB) consensus reporting tool inChorus.[14] The tool also provides a list of sequences identified exclusively by de novo sequencing.
pFind Freeware pFind Studio is a computational solution for mass spectrometry-based proteomics. It was developed in 2002 in the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Phenyx Proprietary Phenyx is a sequence database search engine developed by Geneva Bioinformatics (GeneBio) in collaboration with the Swiss Institute of Bioinformatics (SIB). Phenyx incorporates OLAV, a family of statistical scoring models, to generate and optimize scoring schemes that can be tailored for all kinds of instruments, instrumental set-ups and general sample treatments.[15]
ProbID Open source ProbID is a software tool designed to identify peptides from tandem mass spectra using a protein sequence database. It was developed at the Bioinformatics Group, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.[16]
ProLuCID Freeware ProLuCID is an algorithm for peptide identification using tandem mass spectrometry and protein sequence databases recently developed by Tao Xu and others in the Yates laboratory at The Scripps Research Institute.[17]
ProSightPC and ProSightPD Proprietary ProSightPC/PD are software tools for searching peptide and protein tandem mass spectrometry data against UniProt-derived databases to identify and characterize proteoforms.
ProteinPilot Software Proprietary ProteinPilot uses Paragon database search algorithm that combines the generation of short sequence tags (‘taglets’) for computation of sequence temperature values and estimates of feature probabilities to enable peptide identification. It considers hundreds of modifications, non-tryptic cleavages, and amino acid substitutions. It uses the Pro Group Algorithm for protein inference analysis to report a minimal set of proteins justified based on the peptide evidence. ProteinPilot supports quantification for label-based workflows (iTRAQ reagents, mTRAQ reagents and SILAC labeling). A translation layer converts user interface controls in the language of a proteomics scientist to underlying complex informatics parameters.[18]
Protein Prospector Open source Protein Prospector is a package of about twenty proteomic analysis tools developed at the University of California San Francisco. The tandem mass spectrometry searching software is Batch-Tag and Batch-Tag Web, with the results processed and displayed using Search Compare.
RAId Lost RAId was developed at the National Center for Biotechnology Information, Robust Accurate Identification (RAId)[19] is a suite of proteomics tools for statistical analysis of tandem mass spectrometry data.[20]
SEQUEST Proprietary SEQUEST is a MS data analysis program used for protein identification. It correlates collections of tandem mass spectra to peptide sequences that have been generated from databases of protein sequences.[21]
SIMS Open source SIMS was designed to perform unrestricted PTM searches over tandem mass spectra.[22]
SimTandem Freeware SimTandem is a database search engine for identification of peptide sequences from LC/MS/MS data. The engine can be used as an external tool in OpenMS/TOPP.[23]
SQID Open source SeQuence IDentification (SQID) is an intensity-incorporated protein identification algorithm for tandem mass spectrometry.
Tide (rewrite of Crux) Open source Tide is a tool to identify peptides from tandem mass spectra. It is an independent re-implementation of the SEQUEST algorithm, which identifies peptides by comparing the observed spectra to a catalog of theoretical spectra derived in silico from a database of known proteins. The immediate ancestor of Tide is Crux, but Tide was re-engineered to achieve speed improvement while replicating SEQUEST XCorr scores. It was developed at the University of Washington.[24]
TopMG Open source TopMG (Top-down mass spectrometry-based proteoform identification using Mass Graphs) is a software tool for identifying ultra-modified proteoforms by searching top-down tandem mass spectra against a protein sequence database. It is capable of identifying proteoforms with multiple variable PTMs and unexpected alterations, such as histone and phosphorylated proteoforms, using mass graphs. Approximate spectrum-based filtering methods are employed for protein sequence filtering, and a Markov chain Monte Carlo method (TopMCMC) is used for estimating the statistical significance of identifications.[25]
TopPIC Open source TopPIC (Top-down mass spectrometr/y-based Proteoform Identification and Characterization) identifies and characterizes proteoforms at the proteome level by searching top-down tandem mass spectra against a protein sequence database. TopPIC is a successor to MS-Align+. It identifies proteoforms with unexpected alterations, such as mutations and post-translational modifications (PTMs), estimates the statistical significance of identifications, and characterizes reported proteoforms with unknown mass shifts. Techniques used such as indexes, spectral alignment, generation function methods and the modification identification score (MIScore) seek to increase speed, sensitivity, and accuracy.[26]
X!Tandem Open source X!Tandem matches tandem mass spectra with peptide sequences.
WsearchVS2020 Freeware WsearchVS2020 is a data analysis software that can display spectra acquired on commercial MS instruments and can also search/match the NIST commercial database.

De novo sequencing algorithms

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De novo peptide sequencing algorithms are, in general, based on the approach proposed in Bartels et al. (1990).[27]

Name Type Description
CycloBranch Open source CycloBranch is a stand-alone, cross-platform and open-source de novo engine for identification of nonribosomal peptides (linear, cyclic, branched and branch-cyclic) from accurate product ion spectra.[28]
DeNoS Sequencing of peptides uses all information from CAD and ECD spectra; it is part of the software tool Proteinmatching Analysis Software (PAS) which in turn is part of the software package Medicwave Bioinformatics Suite (MBS).[29]
DeNovoX Proprietary De novo sequencing on CID spectra acquired with ion trap mass spectrometers delivers complete and/or partial peptide sequences (sequence tags).[30]
Lutefisk Open source This is software for the de novo interpretation of peptide CID spectra.
Novor Proprietary, free for academic research This real-time de novo peptide sequencing engine is claimed to be fast, accurate and easily integrated into research pipelines.
PEAKS Proprietary PEAKS provides de novo sequencing for each peptide, confidence scores on individual amino acid assignments with manually assisted mode and automated de novo sequencing on an entire LC run, with data processed faster than 1 spectrum per second.[31][32]
Supernovo Proprietary This software automates de novo sequencing of monoclonal antibodies.[33]
Casanovo Open source Casanovo is a machine learning model that uses a transformer neural network architecture to translate the sequence of peaks in a tandem mass spectrum into the sequence of amino acids that comprise the generating peptide, enabling de novo peptide sequencing without prior information. [34]
InstaNovo Open source InstaNovo is a transformer neural network that can translate fragment ion peaks into the sequence of amino acids that make up the studied peptide(s), enabling de novo peptide sequencing without prior information. Trained on 28 million labeled spectra, it outperforms current state-of-the-art methods on benchmark datasets. InstaNovo+, a multinomial diffusion model built upon human intuition, further improves performance through iterative refinement of predicted sequences. [35]

Homology searching algorithms

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Name Type Description
MS-Homology Open source MS-Homology is a database search program within the Protein Prospector package that permits searching with strings that combine masses and amino acid stretches and where one can specify the number of amino acid mismatches allowed.
SPIDER Proprietary The SPIDER algorithm matches sequence tags with errors to database sequences for the purpose of protein and peptide identification and can be used in conjunction with PEAKS mass spectrometry data analysis software.

MS/MS peptide quantification

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Further information: Quantitative proteomics
Name Type Description
BACIQ Open source BACIQ is a mathematically rigorous approach that integrates peptide intensities and peptide-measurement agreement into confidence intervals for protein ratios.
Byos Proprietary Byos commercial software allows XIC of peptide level mass spec data from any MS vendor and relative quantity of PTM vs unmodified. It is specialized for biopharmaceutical applications.
DIA-NN Freeware This automated quantitative Data-independent acquisition-proteomics software, developed by the Demichev and Ralser labs at the Charité in Berlin, Germany, implements a machine-learning algorithm based on an ensemble of deep neural networks, to boost proteomic depth and reliability of peptide and protein identification. DIA-NN is optimized for processing of large-scale experiments. It supports DIA-based profiling of PTMs, such as phosphorylation and ubiquitination, new technologies such as Scanning SWATH[36] and dia-PASEF,[37] and can perform library-free analyses (acts as a database search engine).[38]
FlashLFQ Open source FlashLFQ is an ultrafast label-free quantification algorithm for mass-spectrometry proteomics. [39] FlashLFQ is also bundled into MetaMorpheus search software, which is described above.
MarkerView Software Proprietary This commercial software is for statistical analysis of quantitative mass spec data sets from metabolomics and proteomic profiling applications.
Mascot Distiller Proprietary This software for peak picking and raw data preprocessing has an optional toolbox for label-free quantification, as well as isobaric labeling and isotopic labeling. It supports raw file formats from all major instrument vendors.
Mascot Server Proprietary The search engine supports quantification based on isobaric labeling as long as all the required information is part of the MS/MS spectrum.
MassChroQ Open source Peptide quantification analysis of label-free or various isotopic labeling methods (SILAC, ICAT, N-15, C-13 ...) works with high and low resolution spectrometer systems and supports complex data treatments, such as peptide or protein fractionation, prior to LC-MS analysis (SCX, SDS-PAGE, etc.).
MaxQuant Freeware Quantitative proteomics software developed by Jürgen Cox and others at the Max Planck Institute of Biochemistry in Martinsried, Germany was written in C#, which allows the analysis of label free and SILAC-based proteomics experiments. MaxQuant uses the andromeda search engine for the interpretation of the MS/MS spectra[40][1].
MultiQuant Software Proprietary This software can process quantitative data sets from TripleTOF or QTRAP systems, including MRM and SWATH Acquisition.
OpenMS / TOPP Open source The software C++ library for LC-MS/MS data management and analysis offers an infrastructure for the development of mass spectrometry-related software. It allows peptide and metabolite quantification and supports label-free and isotopic-label-based quantification (such as iTRAQ and TMT and SILAC) as well as targeted SWATH-MS quantification.[41]
OpenPIP Website, open access OpenPIP is a tool developed by InterVenn Biosciences to integrate peaks acquired in multiple reaction monitoring (MRM) experiments. The software is powered by recurrent neural networks and guided by a large collection of manually-annotated chromatographic peaks.
ProtMax Freeware ProtMAX[42] is a software tool for analyzing shotgun proteomics mass spectrometry data sets, developed by Volker Egelhofer at the University of Vienna.
Skyline Open source Skyline is open source (Apache 2.0) Windows client software developed in the MacCoss lab at University of Washington.[43] It supports building Selected Reaction Monitoring (SRM) / Multiple Reaction Monitoring (MRM), Parallel Reaction Monitoring (PRM - Targeted MS/MS), Data Independent Acquisition (DIA/SWATH) and targeted DDA with MS1 quantitative methods and analysis of the resulting mass spectrometer data.
Spectronaut Proprietary Biognosys AG (Schlieren, Switzerland) developed this commercial software for quantitative proteomics based on the mProphet algorithm[44] that allows the targeted analysis of data independent acquisition (DIA) data sets for label-free peptide quantitation, also called SWATH acquisition.[45]
SWATH Software 2.0 Proprietary This commercial software processing tool within PeakView allows targeted data processing of SWATH acquisition data. Using a protein/peptide ion library, fragment ion extracted ion chromatograms (XICs) are generated, scored and quantified for peptides from the library. After false discovery rate analysis (FDR), results are filtered and quantitative peptide/protein data can be exported for statistical analysis.

Other software

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Name Type Description
Advanced Chemistry Development Proprietary ACD offers commercial solutions for the interpretation of MS and xC/MS data with spectrum/structure matching, identification of known and unknown metabolites, as well as identification of compounds through spectral comparison.
AMDIS Freeware NIST created this software for GC/MS data in various formats. It deconvolutes coeluting mass spectra, displays mass chromatograms, calculates retention indexes, allows for target compound libraries, and will export spectra to the NISMS Mass Spectral Search Program.
Analyst Proprietary Analyst was created by AB Sciex, a division of The Danaher Corporation, for control of LC-MS/MS systems.
AnalyzerPro Proprietary AnalyzerPro is a vendor-independent software application from SpectralWorks for processing mass spectrometry data. It can process both GC-MS and LC-MS data using qualitative and quantitative data processing and is used in metabolomics with MatrixAnalyzer for the comparison of multiple data sets. It was recently extended to include statistical analysis and visualization tools (PCA). AnalyzerPro XD is a 64-bit version that includes support for 2 dimensional data processing such as GCxGC-MS.
ArtIST by Clover Biosoft Proprietary Artificial Intelligence Strain Typing is an online service offering MALDI-TOF MS data analysis and biomarker discovery tools, based on artificial intelligence and machine learning algorithms.
ASCENT Proprietary ASCENT is an LC and GC-MS data analysis automation tool, provided as SaaS over a cloud platform. It uses machine learning algorithms to analyze MS plots and reduce the amount of manual review required.
CFM-ID Open source This software is for in-silico ESI-MS/MS spectra prediction, MS/MS spectra annotation, and compound identification based on an MS/MS spectrum. It was developed in Wishartlab[46][47][48][49]
Chromeleon Proprietary Chromeleon is Thermo Fisher Scientific software used with mass spectrometry instruments, as well as chromatography instruments.
Clover MSDAS Proprietary Cloud-based platform for data analysis with FTIR and MALDI TOF MS data. Subtyping and AMR detection in FTIR and MALDI spectra. Biomarker analyisis, Quality control, reproducibility studies and training of machine learning models.
Crosslinx Open source Identify cross-linked peptides from mzML files and use Python script or standalone executables for Linux and Windows. It is feasible to use with bigger databases with a two-step approach.[50]
DataAnalysis Proprietary Software by Bruker used with mass spectrometry instruments.
DeNovoGUI Open source The software has a graphical user interface for running parallelized versions of the freely available de novo sequencing software tools Novor and PepNovo+.[51]
Easotope Open source Easotope software archives, organizes, and analyzes mass spectrometer data. It is currently oriented toward clumped CO2 analysis but is also useful for bulk CO2 work and expandable to other isotopic systems.
El-MAVEN Open-source Desktop software by Elucidata processes labeled LC-MS, GC-MS and LC-MS/MS data in open-formats (mzXML, mzML, CDF). The software has a graphical and command line interface with integration to a cloud platform for storage and further analyses like relative flux and quantification.[52]
ESIprot ESIprot can determine charge state and calculate molecular weight for low resolution electrospray ionization (ESI) mass spectrometry (MS) data of proteins.[53]
Expressionist Proprietary Expressionist is software for processing, analyzing, and reporting mass spectrometry data in application areas such as biotherapeutics characterization, quality monitoring, and related proteomics and metabolomics applications. It was developed by Genedata.
HIquant Open source This first-principles model and algorithm quantifies proteoform stoichiometries from bottom-up data.[54]
KnowItAll Spectroscopy Software & Mass Spectral Library Proprietary Software from Wiley with applications for mass spectrometry including: spectral analysis, database searching (spectrum, structure, peak, property, MS Adaptive Search, etc.), processing, database building (MS or multiple techniques including IR, Raman, NMR, UV, Chromatograms), spectral subtraction, plus tools for reporting and ChemWindow structure drawing, and MASSTransit file conversion software (updated with more formats).
LabSolutions LCMS Proprietary Software by Shimadzu Corporation is used with mass spectrometry and HPLC instruments.
LipidXplorer Open source A high-throughput lipid identification software from shotgun mass spectra written in Python.[55]
Mass++ Open source Analysis software for mass spectrometry can import and export files with open-formats (mzXML, mzML) and load some instrument vendor formats; users can develop and add original functions as Mass++ plug-ins.
MassBank Open source MassBank and RMassBank development website is provided by the MassBank consortium. MassBank data are shared under a Creative Commons license.
MassBank.eu Website European MassBank server. The website is maintained and hosted by the Helmholtz Centre for Environmental Research (Leipzig, Germany). MassBank.eu is a core of the NFDI4Chem consortium.
MassBank.jp Website Website hosted by the Institute for Advanced Biosciences, in Keio University, Tsuruoka City, Yamagata, Japan with mass spectrometric data for organic compounds.
MassCenter Proprietary Software by JEOL used with mass spectrometry instruments.
Mass Frontier Proprietary Software by HighChem used for interpretation and management of mass spectra of small molecules.
MassLynx Proprietary Software by Waters Corporation for analytical instrument control.
MassMap Proprietary General-purpose software suite for automated evaluation of MS data by MassMap GmbH & Co. KG. It is suitable for LC/MS and GC/MS data of all kinds of molecules, the analysis of intact mass spectra of proteins, the analysis of general HDX experiments and the HDX fragment analysis of peptides, with particular methods for the identification of unexpected/unknown components in very complex mixtures.
Mass Mountaineer Proprietary Qualitative analysis and reporting software includes chemometric functions for working with one or more text-format mass spectra.
Mass-Up Open-source Utility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data that loads data from mzML, mzXML and CSV files. It allows users to apply baseline correction, normalization, smoothing, peak detection and peak matching. In addition, it allows the application of different machine learning and statistical methods to the pre-processed data for biomarker discovery, unsupervised clustering and supervised sample classification.[56]
massXpert Open source GPL Graphical user interface-based (GUI) software for simulating and analyzing mass spectrometric data obtained on known bio-polymer sequences.[57] It is a successor to polyxmass and a program of the msXpertSuite software suite.
Mestrenova Proprietary A vendor-independent software for processing chromatography (LC, GC, SFC) data with any combination of detectors, e.g. LC-MS-UV-VIS, GC-MS, SFC-MS-UV in one environment. This multiplatform and web-based software was created by Mestrelab Research, S.L.
matchms Open source Python library imports, cleans, processes and quantitatively compares MS/MS spectra and was developed at the Netherlands eScience Center.[58]
METASPACE Free and open-source Cloud platform for metabolite and lipid identification and a community-populated knowledge base of spatial metabolomes, with thousands of public datasets shared by the users: metaspace2020.eu. It also provides capacities for online data visualization, sharing, and publishing.
METLIN Database and Technology Platform Proprietary Tandem mass spectrometry (MS/MS) database of over 930,000 (as of December 2023)[59] metabolites and other molecular entities, generated from high resolution quadrupole time-of-flight tandem mass spectrometry.[60] It also includes, ion mobility,[61] neutral loss,[62] and LC/MS data.[63][64]
mineXpert Open source GPL This graphical user interface-based (GUI) software for mass spectral data visualization/mining supports ion mobility mass spectrometry[65][66] and is a program of the msXpertSuite software suite.
mMass Open source Multi-platform package of tools for mass spectrometric data analysis and interpretation written in Python (no longer developed).
MolAna MolAna was developed by Phenomenome Discoveries Inc, (PDI) for use in IONICS Mass Spectrometry Group's 3Q Molecular Analyzer, Triple quadrupole mass spectrometer.
msAxel Proprietary Software used by JEOL time-of-flight mass spectrometers
msFineAnalysis Proprietary Qualitative analysis software for JEOL GC-MS systems. The msFineAnalysis AI version for JEOL's GC-time-of-flight mass spectrometers contains a searchable in-silico database of mass spectra calculated for the 100 million structures in the PubChem database.
MSGraph Open source This tool does qualitative analysis of mass spectrometric (MS) data and is hosted by Sourceforge.
MSight Freeware Software for mass spectrometry imaging developed by the Swiss Institute of Bioinformatics.[67]
MSiReader Freeware Vendor-neutral interface built on the Matlab platform designed to view and perform data analysis of mass spectrometry imaging (MSI) data.[68] Matlab is not required to use MSiReader.
MS Interpreter Freeware Software by NIST for compression of structure with mass spectra. The program seeks to find mechanisms and their rates for all fragmentation types (EI, Tandem positive and negative mode) and correlates mass spectral peaks to a probable origin structure. It contains an isotope calculator and other features and on-line help. This program is a companion to the NIST Spectra Search Program, v.3.0. It is usable as a standalone with the import of a structure and spectrum.
mspire Open-source Mspire is an MS informatics developer's toolbox, written in ruby, that includes an mzML reader/writer, in-silico digestion and isotopic pattern calculation, etc. Submodules such as mspire-lipidomics, mspire-sequest, and mspire-simulator extend the functionality.[69]
MSqRob Open-source This is an "R" package with graphical user interface for differential abundance analysis of label-free quantitative proteomics data.[70][71][72]
ms2mz Freeware Utility converts between mass spectrometer file formats, e.g. to convert proprietary binary files to MGF peak list files, to prepare for upload to Proteome Cluster.
Multimaging Proprietary Software for mass spectrometry imaging designed to normalize, validate and interpret MS images.
multiMS-toolbox Open source MS-alone and multiMS-toolbox is a tool chain for mass spectrometry data peak extraction and statistical analysis.
mzCloud Website Web-based mass spectral database that comprises a collection of high and low resolution tandem mass spectrometry data acquired under a number of experimental conditions.
MZmine Open source An open-source software for mass spectrometry data processing, with the main focus on LC-MS data.
OmicsHub Proteomics Laboratory information management software for mass spectrometry information management and data analysis.
OpenChrom Open source Chromatography and mass spectrometry software that can be extended using plug-ins and can run on several operating systems (Microsoft Windows, Linux, Unix, Mac OS X) and processor architectures (x86, x86_64, ppc). It has converters for the native access of various data files, e.g. converters for mzXML, netCDF, Agilent, Finnigan and Varian file formats.
ORIGAMI Open source The ORIGAMI software suite is for analysis of mass spectrometry and ion mobility mass spectrometry datasets. It was originally developed to improve the analysis workflows of activated IM-MS/collision-induced unfolding (CIU) datasets and allow seamless visualization of results. Recently, ORIGAMI was modified to be more accepting of non-MS centric and enables visualization of results from other sources as well as the exporting of results in an interactive format, where the user can share any dataset and visualize results in an internet browser.[73]
PatternLab Freeware Software for post-analysis of SEQUEST, ProLuCID or Comet database search results filtered by DTASelect or Census.[74]
pyOpenMS Open source pyOpenMS is an open-source Python library for mass spectrometry, specifically for the analysis of proteomics and metabolomics data in Python.
Peaksel Proprietary This web-based software for LC/MS data processing supports batch editing and high-throughput experiments. It is "vendor agnostic."
PeakStrainer Open source Intensity-Independent Noise Filtering in FT MS and FT MS/MS spectra for Shotgun Lipidomics (Python)[75]
Peacock Open source Mac OS X application developed by Johan Kool that can be used to interpret gas-chromatography/mass-spectrometry (GC/MS) data files.
PeakInvestigator Proprietary A program designed to detect and deconvolve overlapping MS data, which can increase the effective resolution of spectra by 3-4 times.
PetroOrg Proprietary Software was developed specifically for analyzing petroleum, but it is also used to analyze "other complex mixtures, including anthropogenic environmental contaminants and natural organic matter."[76]
Pinnacle Proprietary A proteomics analysis software with modules for translational proteomics, glycoproteomics, and biopharma analysis. It includes comprehensive quantitation of thousands of proteins across hundreds of samples using DDA, DIA, PRM or SRM with fully integrated statistics and biological interpretation. There is a complete N-linked glycoprotein identification routine and an in-depth analysis in protein characterization, including peptide mapping, error tolerant search and disulfide analysis.
PIQMIe Web Proteomics Identifications/quantitations data management and integration service is a web-based tool that aids scalable data management, analysis and visualization of semi-quantitative (SILAC) proteomics experiments.[77]
POTAMOS Open source This web application calculates mass spectrometry data independently of instrumentation and is focused on a well known protein family of histones whose PTMs are believed to play a crucial role in gene regulation. It calculates the kind, number and combinations of the possible PTMs corresponding to a given peptide sequence and mass.
ProMass Proprietary ProMass is an automated biomolecule deconvolution and reporting software package used to process ESI/LC/MS data or single ESI mass spectra. It uses the deconvolution algorithm, ZNova, to produce artifact-free deconvoluted mass spectra. There is also a "lite" browser-based format called ProMass for the Web that does not require any installation or software download.
ProteoIQ Proprietary Software for the post-analysis of Mascot, SEQUEST, or X!Tandem database search results.[78][79][80]
PROTRAWLER LC/MS data reduction application that reads raw mass spectrometry vendor data (from several well-known instrument companies) and creates triplet lists {mass, retention time, integrated signal intensity} summarizing the LC/MS chromatogram.
Proteomatic Freeware Data processing pipeline created for the purpose of evaluating mass spectrometric proteomics experiments.[81]
ProteomicsTools Open source Software for the post-analysis of MASCOT, SEQUEST, Comet, XTandem, PFind, PeptidePhophet, MyriMatch, MSGF, OMSSA, MSAmanda or Percolator database search results.[82]
ProteoWizard Open source Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis.
ProteoWorker Proprietary Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
Provision Open source Cloud-based software written in R for analysing proteomics data generated by MaxQuant. This software analyzes differential quantification data and is assisted by tools and visualization options. It is possible to process label-free and tandem mass-tagged data.[83]
pymzML Open source Python module to interface mzML data in Python, based on cElementTree with additional tools for MS-informatics.[84]
Pyteomics Open source A Python framework for proteomics data analysis.[85]
Quantem Software for ESI-MS quantification without analytical standards. Developed in Kruvelab, distributed by Quantem Analytics.
Quantinetix Proprietary Software for mass spectrometry imaging designed to quantify and normalize MS images in various study types. It is compatible with a variety of MSI instruments, including Bruker, Sciex, Thermo and with the iMZML data format.
Rational Numbers Excel Add-In Proprietary De novo identification tool for small molecules that works with Microsoft Excel (2010, 2013, 2016 and 2019). This software treats small molecules as mathematical partitions of the molecular mass and generates subfragment formulas with atoms that are sets of partitions comprising the molecular formula.
Rational Numbers SPS Proprietary This seeks to identify small molecules by comparing accurate-mass fragmentation data to a database of 250,000 molecules represented as mathematical partitions of the exact molecular masses. SPS (Similar Partition Searching) is designed to rapidly analyze and summarize multiple chromatographic MS/MS datasets acquired by DDA (data dependent acquisition).
REGATTA An LC/MS list comparison application that works with ProTrawler (but accepts input in Excel/CSV form) to provide an environment for LC/MS results list filtering and normalization {mass, retention time, integrated intensity}.
RemoteAnalyzer Proprietary Software by SpectralWorks for vendor-independent 'Open Access' client/server-based solutions to provide a "walk-up and use" LC-MS and GC-MS data system. Instrument control and data processing support for multiple vendors' hardware. NMR instrumentation and data processing are also supported.
Scaffold Proprietary Suite of proteomics tools for analyzing spectra, peptides and proteins across multiple samples.
SCIEX OS Proprietary Next generation software by SCIEX controlling the X-series mass spectrometers, with support for data analysis acquired using the Analyst software suite.
SCiLS Lab Proprietary Multi-vendor software for statistical analysis of mass spectrometry imaging data.
SFINX Open source and web The straightforward filtering index (SFINX) allows separation of true positive from false positive protein interactions in affinity purification - mass spectrometry and related datasets.[86][87] It is accessible via its web-interface[86] and as an R package.[88]
SIM-XL Freeware Spectrum Identification Machine for Cross-linked Peptides (SIM-XL) is an XL search engine that is part of the PatternLab for proteomics environment, to analyze tandem mass spectrometry data derived from cross-linked peptides.[89]
SimGlycan Proprietary Predicts the structure of glycans and glycopeptides using mass spectrometry MS/MS data.
SIMION Proprietary SIMION is an ion optics simulation program.
SIRIUS Open source and web service An umbrella application for the annotation of small molecules from LC-MS/MS data.
Spectrolyzer Proprietary Spectrolyzer is a Microsoft Windows-based software package developed by Binary Detect (previously named Medicwave) that provides bioinformatics data analysis tools for different mass spectrometers. It focuses on finding protein biomarkers and detecting protein deviations.
Spectromania Proprietary Software for analysis and visualization of mass spectrometric data.[90]
StavroX Freeware Software to identify cross-linked peptides from mass spectrometric data written in Java that can be used for a wide variety of cross linkers and proteases used in the cross linking MS experiment; it compares theoretical peptide-peptide cross link combinations for the analyzed proteins to MS/MS data.[91]
Swiss Mass Abacus Open source Swiss Mass Abacus is a calculator of peptide and glycopeptide masses. It is purposefully kept as simple as a basic calculator executing arithmetic operations.
TOF-DS Proprietary Software by Markes International used with BenchTOF time-of-flight mass spectrometers
TopFD Open source TopFD (Top-down mass spectral Feature Detection) is a software tool for top-down spectral deconvolution and a successor to MS-Deconv. It groups top-down spectral peaks into isotopomer envelopes and converts them to monoisotopic neutral masses. In addition, it extracts proteoform features from LC-MS or CE-MS data.
Trans-Proteomic Pipeline (TPP) Open source The Trans-Proteomic Pipeline (TPP) is a collection of integrated tools for MS/MS proteomics. It includes: PeptideProphet for the Statistical validation of PSMs using search engine results; iProphet for distinct peptide sequence validation, using PeptideProphet results (can combine results of multiple search engines); and ProteinProphet for Protein identification and validation, using PeptideProphet or iProphet results. TPP also does: Protein Quantification with XPRESS (calculates relative peptide/protein abundances from isotopically labeled MS/MS samples); ASAPRatio (Automated Statistical Analysis on Protein Ratio, an alternative to XPRESS); and Libra (quantification of isobarically-labeled samples (e.g. iTraq, TMT, etc.) for any number of channels). The TPP currently supports Sequest, Mascot, ProbID, X!Tandem, Comet, SpectraST, MSGF+, Inspect, MyriMatch, and Phenyx. It was developed at the Seattle Proteomic Centre (SPC).[92][93]
TurboMass Proprietary TurboMass is GC/MS software created by PerkinElmer.
Universal Mass Calculator Freeware UMC is programmed as a mass spectrometry tool to assist interpreting measurement results, mainly derived from molecular or quasi-molecular ions.

It can be used for the calculation of:

  • Mass deviation (mmu or ppm) of measured mass from given empirical formula
  • Mass differences of two empirical formulas
  • Elemental compositions (also considering measured intensity pattern, "most abundant" algorithm[94] included)
  • Isotope pattern simulation from empirical formulas
  • Analysis of the degree of isotope labelling with D, 13C, 15N or 18O.
VIPER VIPER analyzes accurate mass and chromatography retention times of LC-MS features (accurate mass and time tag approach).[95]
Xcalibur Proprietary Software by Thermo Fisher Scientific used with mass spectrometry instruments.
XCMS Online (Cloud-Based) Proprietary Freely available and a widely used metabolomic and lipidomic data-processing platform.


See also

[edit]

References

[edit]
  1. ^ a b Cox, Jürgen; Neuhauser, Nadin; Michalski, Annette; Scheltema, Richard A.; Olsen, Jesper V.; Mann, Matthias (2011). "Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment". Journal of Proteome Research. 10 (4): 1794–1805. doi:10.1021/pr101065j. ISSN 1535-3893. PMID 21254760.
  2. ^ Bern, Marshall; Cai, Yuhan; Goldberg, David (2007). "Lookup Peaks: A Hybrid of de Novo Sequencing and Database Search for Protein Identification by Tandem Mass Spectrometry". Analytical Chemistry. 79 (4): 1393–1400. doi:10.1021/ac0617013. PMID 17243770. S2CID 27769662.
  3. ^ Bern, Marshall; Goldberg, David (2008). "Improved Ranking Functions for Protein and Modification-Site Identifications". Journal of Computational Biology. 15 (7): 705–719. doi:10.1089/cmb.2007.0119. PMID 18651800.
  4. ^ Eng, Jimmy K.; Jahan, Tahmina A.; Hoopmann, Michael R. (2013). "Comet: An open-source MS/MS sequence database search tool". Proteomics. 13 (1): 22–24. doi:10.1002/pmic.201200439. ISSN 1615-9853. PMID 23148064. S2CID 13533125.
  5. ^ "Inspect and MS-Alignment".
  6. ^ Perkins, David N.; Pappin, Darryl J. C.; Creasy, David M.; Cottrell, John S. (1999). "Probability-based protein identification by searching sequence databases using mass spectrometry data". Electrophoresis. 20 (18): 3551–67. doi:10.1002/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2. PMID 10612281. S2CID 42423655.
  7. ^ Solntsev, Stefan K.; Shortreed, Michael R.; Frey, Brian L.; Smith, Lloyd M. (2018). "Enhanced Global Post-translational Modification Discovery with MetaMorpheus". Journal of Proteome Research. 17 (5): 1844–1851. doi:10.1021/acs.jproteome.7b00873. PMID 29578715.
  8. ^ Kong, Andy T.; Leprevost, Felipe V.; Avtonomov, Dmitry M.; Mellacheruvu, Dattatreya; Nesvizhskii, Alexey I. (2017). "MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics". Nature Methods. 14 (5): 513–520. doi:10.1038/nmeth.4256. PMC 5409104. PMID 28394336.
  9. ^ Sabareesh, Varatharajan; Singh, Gurpreet (2013). "Mass spectrometry-based lipid(ome) analyzer and molecular platform: a new software to interpret and analyze electrospray and/or matrix-assisted laser desorption/ionization mass spectrometric data of lipids: a case study from Mycobacterium tuberculosis". Journal of Mass Spectrometry. 48 (4): 465–477. Bibcode:2013JMSp...48..465S. doi:10.1002/jms.3163. ISSN 1096-9888. PMID 23584940.
  10. ^ Tabb, David L.; Fernando, Christopher G.; Chambers, Matthew C. (2007). "MyriMatch:  Highly Accurate Tandem Mass Spectral Peptide Identification by Multivariate Hypergeometric Analysis". Journal of Proteome Research. 6 (2): 654–61. doi:10.1021/pr0604054. PMC 2525619. PMID 17269722.
  11. ^ NIST23 Features. Retrieved February 6, 2024.
  12. ^ "OMSSA ms/ms search engine". Pubchem.ncbi.nlm.nih.gov. Retrieved 2011-09-27.
  13. ^ Geer, Lewis Y.; Markey, Sanford P.; Kowalak, Jeffrey A.; Wagner, Lukas; Xu, Ming; Maynard, Dawn M.; Yang, Xiaoyu; Shi, Wenyao; Bryant, Stephen H. (2004). "Open Mass Spectrometry Search Algorithm". Journal of Proteome Research. 3 (5): 958–64. arXiv:q-bio/0406002. Bibcode:2004q.bio.....6002G. doi:10.1021/pr0499491. PMID 15473683. S2CID 12218715.
  14. ^ Liang, C; Smith, JC; Hendrie, Christopher (2003). A Comparative Study of Peptide Sequencing Software Tools for MS/MS. American Society for Mass Spectrometry.
  15. ^ Colinge, Jacques; Masselot, Alexandre; Giron, Marc; Dessingy, Thierry; Magnin, Jérôme (2003). "OLAV: Towards high-throughput tandem mass spectrometry data identification". Proteomics. 3 (8): 1454–63. doi:10.1002/pmic.200300485. PMID 12923771. S2CID 36666495.
  16. ^ Zhang, Zhuo; Sun, Shiwei; Zhu, Xiaopeng; Chang, Suhua; Liu, Xiaofei; Yu, Chungong; Bu, Dongbo; Chen, Runsheng (2006). "A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data". BMC Bioinformatics. 7 (1): 222. doi:10.1186/1471-2105-7-222. ISSN 1471-2105. PMC 1463009. PMID 16638152.
  17. ^ Xu, T.; Park, S.K.; Venable, J.D.; Wohlschlegel, J.A.; Diedrich, J.K.; Cociorva, D.; Lu, B.; Liao, L.; Hewel, J.; Han, X.; Wong, C.C.L.; Fonslow, B.; Delahunty, C.; Gao, Y.; Shah, H.; Yates, J.R. (2015). "ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity". Journal of Proteomics. 129: 16–24. doi:10.1016/j.jprot.2015.07.001. ISSN 1874-3919. PMC 4630125. PMID 26171723.
  18. ^ Shilov, Ignat V.; Seymour, Sean L.; Patel, Alpesh A.; Loboda, Alex; Tang, Wilfred H.; Keating, Sean P.; Hunter, Christie L.; Nuwaysir, Lydia M.; Schaeffer, Daniel A. (2007). "The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra". Molecular & Cellular Proteomics. 6 (9): 1638–1655. doi:10.1074/mcp.T600050-MCP200. ISSN 1535-9476. PMID 17533153. S2CID 7097773.
  19. ^ "RAId MS/MS search engine". QMBP NCBI NLM NIH. Retrieved 2008-01-01.
  20. ^ Alves, Gelio; Ogurtsov, Aleksey Y.; Yu, Yi-Kuo (2007). "RAId_DbS: peptide identification using database searches with realistic statistics". Biol Direct. 2: 25. doi:10.1186/1745-6150-2-25. PMC 2211744. PMID 17961253.
  21. ^ Jimmy K. Eng; Ashley L. McCormack; John R. Yates, III (1994). "An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database". J Am Soc Mass Spectrom. 5 (11): 976–989. Bibcode:1994JASMS...5..976E. doi:10.1016/1044-0305(94)80016-2. PMID 24226387. S2CID 18413192.
  22. ^ Hricovíni, Miloš; Tvaroška, Igor; Hirsch, Ján; Duben, Anthony J. (1991). "Nuclear overhauser effects and the flexibility of saccharides: methyl β-xylobioside". Carbohydrate Research. 210: 13–20. doi:10.1016/0008-6215(91)80109-Z. ISSN 0008-6215. PMID 1878875.
  23. ^ Novak, Jiri; Sachsenberg, Timo; Hoksza, David; Skopal, Tomas; Kohlbacher, Oliver (2013). "On Comparison of SimTandem with State-of-the-Art Peptide Identification Tools, Efficiency of Precursor Mass Filter and Dealing with Variable Modifications". Journal of Integrative Bioinformatics. 10 (3): 1–15. doi:10.1515/jib-2013-228. PMID 24231142. S2CID 22469656.
  24. ^ Diament, Benjamin J.; Noble, William Stafford (2011). "Faster SEQUEST Searching for Peptide Identification from Tandem Mass Spectra". Journal of Proteome Research. 10 (9): 3871–3879. doi:10.1021/pr101196n. ISSN 1535-3893. PMC 3166376. PMID 21761931.
  25. ^ kou, Qiang; Wu, Si; Tolić, Nikola; Paša-Tolić, Ljiljana; Liu, Yunlong; Liu, Xiaowen (2017). "A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra". Bioinformatics. 33 (9): 1309–1316. doi:10.1093/bioinformatics/btw806. ISSN 1460-2059. PMC 5860502. PMID 28453668.
  26. ^ kou, Qiang; Xun, Likun; Liu, Xiaowen (2016). "TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization". Bioinformatics. 32 (22): 3495–3497. doi:10.1093/bioinformatics/btw398. ISSN 1460-2059. PMC 5181555. PMID 27423895.
  27. ^ Bartels, Christian (31 May 1990). "Fast algorithm for peptide sequencing by mass spectroscopy". Biological Mass Spectrometry. 19 (6): 363–368. doi:10.1002/bms.1200190607. PMID 24730078.
  28. ^ Novak, Jiri; Lemr, Karel; Schug, Kevin A.; Havlicek, Vladimir (2015). "CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra". J. Am. Soc. Mass Spectrom. 26 (10): 1780–1786. Bibcode:2015JASMS..26.1780N. doi:10.1007/s13361-015-1211-1. PMID 26195308. S2CID 207470364.
  29. ^ Savitski, Mikhail M.; Nielsen, Michael L.; Kjeldsen, Frank; Zubarev, Roman A. (2005). "Proteomics-Grade de Novo Sequencing Approach". Journal of Proteome Research. 4 (6): 2348–54. doi:10.1021/pr050288x. PMID 16335984.
  30. ^ thermo finnigan introduces denovox – Search results [dead link]
  31. ^ Ma, Bin; Zhang, Kaizhong; Hendrie, Christopher; Liang, Chengzhi; Li, Ming; Doherty-Kirby, Amanda; Lajoie, Gilles (2003). "PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry". Rapid Communications in Mass Spectrometry. 17 (20): 2337–42. Bibcode:2003RCMS...17.2337M. doi:10.1002/rcm.1196. PMID 14558135.
  32. ^ Tannu, Nilesh S; Hemby, Scott E (2007). "De novo protein sequence analysis of Macaca mulatta". BMC Genomics. 8: 270. doi:10.1186/1471-2164-8-270. PMC 1965481. PMID 17686166.
  33. ^ Sen, K. Ilker; Tang, Wilfred H; Nayak, Shruti; Kil, Yong J; Bern, Marshall; Ozoglu, Berk; Ueberheide, Beatrix; Davis, Darryl; Becker, Christopher (2017-05-01). "Automated Antibody De Novo Sequencing and Its Utility in Biopharmaceutical Discovery". Journal of the American Society for Mass Spectrometry. 28 (5): 803–810. Bibcode:2017JASMS..28..803S. doi:10.1007/s13361-016-1580-0. ISSN 1044-0305. PMC 5392168. PMID 28105549.
  34. ^ Yilmaz, Melih; Fondrie, William (2024-02-13). "Sequence-to-sequence translation from mass spectra to peptides with a transformer model". bioRxiv. doi:10.1101/2023.01.03.522621. Retrieved 2024-04-03.
  35. ^ Eloff, Kevin; Kalogeropoulos, Konstantinos (2024-03-04). "De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments". bioRxiv. doi:10.1101/2023.08.30.555055. Retrieved 2024-04-03.
  36. ^ Messner, Christoph B.; Demichev, Vadim; Bloomfield, Nic; Yu, Jason S. L.; White, Matthew; Kreidl, Marco; Egger, Anna-Sophia; Freiwald, Anja; Ivosev, Gordana; Wasim, Fras; Zelezniak, Aleksej (July 2021). "Ultra-fast proteomics with Scanning SWATH". Nature Biotechnology. 39 (7): 846–854. doi:10.1038/s41587-021-00860-4. ISSN 1546-1696. PMC 7611254. PMID 33767396.
  37. ^ Demichev, Vadim; Yu, Fengchao; Teo, Guo Ci; Szyrwiel, Lukasz; Rosenberger, George A.; Decker, Jens; Kaspar-Schoenefeld, Stephanie; Lilley, Kathryn S.; Mülleder, Michael; Nesvizhskii, Alexey I.; Ralser, Markus (2021-03-09). "High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe". bioRxiv: 2021.03.08.434385. doi:10.1101/2021.03.08.434385. S2CID 232223730.
  38. ^ Demichev, Vadim; Messner, Christoph B.; Vernardis, Spyros I.; Lilley, Kathryn S.; Ralser, Markus (January 2020). "DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput". Nature Methods. 17 (1): 41–44. doi:10.1038/s41592-019-0638-x. ISSN 1548-7105. PMC 6949130. PMID 31768060.
  39. ^ Millikin, Robert J.; Solntsev, Stefan K.; Shortreed, Michael R.; Smith, Lloyd M. (2018). "Ultrafast Peptide Label-Free Quantification with FlashLFQ". Journal of Proteome Research. 17 (1): 386–391. doi:10.1021/acs.jproteome.7b00608. PMC 5814109. PMID 29083185.
  40. ^ Cox, Jürgen; Mann, Matthias (December 2008). "MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification". Nature Biotechnology. 26 (12): 1367–1372. doi:10.1038/nbt.1511. ISSN 1546-1696.
  41. ^ Röst HL, Sachsenberg T, Aiche S, Bielow C, Weisser H, Aicheler F, Andreotti S, Ehrlich HC, Gutenbrunner P, Kenar E, Liang X, Nahnsen S, Nilse L, Pfeuffer J, Rosenberger G, Rurik M, Schmitt U, Veit J, Walzer M, Wojnar D, Wolski WE, Schilling O, Choudhary JS, Malmström L, Aebersold R, Reinert K, Kohlbacher O (2016). "OpenMS: a flexible open-source software platform for mass spectrometry data analysis" (PDF). Nat. Methods. 13 (9): 741–8. doi:10.1038/nmeth.3959. PMID 27575624. S2CID 873670.
  42. ^ Egelhofer V, Hoehenwarter W, Lyon D, Weckwerth W, Wienkoop S (2013). "Using ProtMAX to create high-mass-accuracy precursor alignments from label-free quantitative mass spectrometry data generated in shotgun proteomics experiments". Nat Protoc. 8 (3): 595–601. doi:10.1038/nprot.2013.013. PMID 23449253. S2CID 29653992.
  43. ^ Maclean, B (2010). "Skyline: An Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments". Bioinformatics. 26 (7): 966–968. doi:10.1093/bioinformatics/btq054. PMC 2844992. PMID 20147306.
  44. ^ Reiter, L; et al. (2011). "mProphet: automated data processing and statistical validation for large-scale SRM experiments". Nat Methods. 8 (5): 430–435. doi:10.1038/nmeth.1584. PMID 21423193. S2CID 205419625.
  45. ^ Law, KP; Lim YP (2013). "Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring". Expert Rev Proteomics. 10 (6): 551–566. doi:10.1586/14789450.2013.858022. PMID 24206228. S2CID 29969570.
  46. ^ Allen, Felicity; Pon, Allison; Wilson, Michael; Greiner, Russ; Wishart, David (2014). "CFM-ID: A web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra". Nucleic Acids Research. 42 (Web Server issue): W94–W99. doi:10.1093/nar/gku436. PMC 4086103. PMID 24895432.
  47. ^ Allen, Felicity; Greiner, Russ; Wishart, David (2015). "Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification". Metabolomics. 11: 98–110. arXiv:1312.0264. doi:10.1007/s11306-014-0676-4. S2CID 256589.
  48. ^ Allen, Felicity; Pon, Allison; Greiner, Russ; Wishart, David (2016). "Computational Prediction of Electron Ionization Mass Spectra to Assist in GC/MS Compound Identification". Analytical Chemistry. 88 (15): 7689–7697. doi:10.1021/acs.analchem.6b01622. PMID 27381172.
  49. ^ Djoumbou-Feunang, Yannick; Pon, Allison; Karu, Naama; Zheng, Jiamin; Li, Carin; Arndt, David; Gautam, Maheswor; Allen, Felicity; Wishart, David S. (2019). "CFM-ID 3.0: Significantly Improved ESI-MS/MS Prediction and Compound Identification". Metabolites. 9 (4): 72. doi:10.3390/metabo9040072. PMC 6523630. PMID 31013937. S2CID 129941603.
  50. ^ Ozawa, SI; Bald, T; Onishi, T; Xue, H; Matsumura, T; Kubo, R; Takahashi, H; Hippler, M; Takahashi, Y (October 2018). "Configuration of Ten Light-Harvesting Chlorophyll a/b Complex I Subunits in Chlamydomonas reinhardtii Photosystem I." Plant Physiology. 178 (2): 583–595. doi:10.1104/pp.18.00749. PMC 6181050. PMID 30126869.
  51. ^ Muth, Thilo; Weilnböck, Lisa; Rapp, Erdmann; Huber, Christian G.; Martens, Lennart; Vaudel, Marc; Barsnes, Harald (2014). "DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra". Journal of Proteome Research. 13 (2): 1143–1146. doi:10.1021/pr4008078. ISSN 1535-3893. PMC 3923451. PMID 24295440.
  52. ^ Sahil; Shubhra Agrawal; GeorgeSabu; Rishabh Gupta; Pankaj Kumar; Saiful B. Khan; kailash yadav; Naman Gupta; Raghav Sehgal (2019-01-11), ElucidataInc/ElMaven: v0.6.1, doi:10.5281/zenodo.2537593
  53. ^ Winkler, Robert (2010). "ESIprot: a universal tool for charge state determination and molecular weight calculation of proteins from electrospray ionization mass spectrometry data". Rapid Communications in Mass Spectrometry. 24 (3): 285–94. Bibcode:2010RCMS...24..285W. doi:10.1002/rcm.4384. PMID 20049890.
  54. ^ Malioutov, Dmitry; Chen, Tianchi; Airoldi, Edoardo; Jaffe, Jacob; Budnik, Bogdan; Slavov, Nikolai (2019-01-01). "Quantifying Homologous Proteins and Proteoforms". Molecular & Cellular Proteomics. 18 (1): 162–168. doi:10.1074/mcp.TIR118.000947. ISSN 1535-9476. PMC 6317479. PMID 30282776.
  55. ^ "LIFS LipidXplorer Wiki".
  56. ^ López-Fernández, H; Santos, HM; Capelo, JL; Fdez-Riverola, F; Glez-Peña, D; Reboiro-Jato, M (2015). "Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery". BMC Bioinformatics. 16: 318. doi:10.1186/s12859-015-0752-4. PMC 4595311. PMID 26437641.
  57. ^ Rusconi, F. (2009). "massXpert 2: a cross-platform software environment for polymer chemistry modeling and simulation/analysis of mass spectrometric data". Bioinformatics. 25 (20): 2741–2. doi:10.1093/bioinformatics/btp504. PMID 19740912.
  58. ^ Huber, Florian; Verhoeven, Stefan; Meijer, Christiaan; Spreeuw, Hanno; Villanueva, Efrain; Geng, Cunliang; van der Hooft, Justin J.J.; Rogers, Simon; Belloum, Adam; Diblen, Faruk; Spaaks, Jurriaan H. (2020). "matchms - processing and similarity evaluation of mass spectrometry data". Journal of Open Source Software. 5 (52): 2411. Bibcode:2020JOSS....5.2411H. doi:10.21105/joss.02411. S2CID 225186415.
  59. ^ "The Analytical Scientist Innovation Awards 2023". The Analytical Scientist. 2023-12-12. Retrieved 2023-12-16.
  60. ^ Xue, Jingchuan; Guijas, Carlos; Benton, H. Paul; Warth, Benedikt; Siuzdak, Gary (October 2020). "METLIN MS2 molecular standards database: a broad chemical and biological resource". Nature Methods. 17 (10): 953–954. doi:10.1038/s41592-020-0942-5. ISSN 1548-7105. PMC 8802982. PMID 32839599.
  61. ^ Baker, Erin S.; Hoang, Corey; Uritboonthai, Winnie; Heyman, Heino M.; Pratt, Brian; MacCoss, Michael; MacLean, Brendan; Plumb, Robert; Aisporna, Aries; Siuzdak, Gary (December 2023). "METLIN-CCS: an ion mobility spectrometry collision cross section database". Nature Methods. 20 (12): 1836–1837. doi:10.1038/s41592-023-02078-5. ISSN 1548-7105. PMC 10843661. PMID 37932399.
  62. ^ Aisporna, Aries; Benton, H. Paul; Chen, Andy; Derks, Rico J. E.; Galano, Jean Marie; Giera, Martin; Siuzdak, Gary (2022-03-02). "Neutral Loss Mass Spectral Data Enhances Molecular Similarity Analysis in METLIN". Journal of the American Society for Mass Spectrometry. 33 (3): 530–534. doi:10.1021/jasms.1c00343. ISSN 1044-0305. PMC 10131246. PMID 35174708.
  63. ^ "METLIN - Database Commons". ngdc.cncb.ac.cn. Retrieved 2023-11-28.
  64. ^ Domingo-Almenara, Xavier; Guijas, Carlos; Billings, Elizabeth; Montenegro-Burke, J. Rafael; Uritboonthai, Winnie; Aisporna, Aries E.; Chen, Emily; Benton, H. Paul; Siuzdak, Gary (2019-12-20). "The METLIN small molecule dataset for machine learning-based retention time prediction". Nature Communications. 10 (1): 5811. Bibcode:2019NatCo..10.5811D. doi:10.1038/s41467-019-13680-7. ISSN 2041-1723. PMC 6925099. PMID 31862874.
  65. ^ Rusconi, F. (2019). "mineXpert: Biological Mass Spectrometry Data Visualization and Mining with Full JavaScript Ability" (PDF). J. Proteome Res. 18 (5): 2254–2259. doi:10.1021/acs.jproteome.9b00099. PMID 30950277. S2CID 96435891.
  66. ^ Rusconi, F. (2021). "mineXpert2: Full-Depth Visualization and Exploration of MSn Mass Spectrometry Data". JASMS. 32 (4): 1138–1141. doi:10.1021/jasms.0c00402. PMID 33683899.
  67. ^ Palagi, Patricia M.; Walther, Daniel; Quadroni, Manfredo; Catherinet, SéBastien; Burgess, Jennifer; Zimmermann-Ivol, Catherine G.; Sanchez, Jean-Charles; Binz, Pierre-Alain; Hochstrasser, Denis F.; Appel, Ron D. (2005). "MSight: An image analysis software for liquid chromatography-mass spectrometry". Proteomics. 5 (9): 2381–4. doi:10.1002/pmic.200401244. PMID 15880814. S2CID 33296427.
  68. ^ Robichaud, Guillaume; Garrard, Kenneth P.; Barry, Jeremy A.; Muddiman, David C. (March 2013). "MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform". Journal of the American Society for Mass Spectrometry. 24 (5): 718–721. Bibcode:2013JASMS..24..718R. doi:10.1007/s13361-013-0607-z. PMC 3693088. PMID 23536269.
  69. ^ Prince, J. T.; Marcotte, E. M. (2008). "Mspire: Mass spectrometry proteomics in Ruby". Bioinformatics. 24 (23): 2796–2797. doi:10.1093/bioinformatics/btn513. PMC 2639276. PMID 18930952.
  70. ^ Goeminne, L. J. E.; Gevaert, K.; Clement, L. (2016). "Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics". Molecular & Cellular Proteomics. 15 (2): 657–668. doi:10.1074/mcp.M115.055897. PMC 4739679. PMID 26566788.
  71. ^ Goeminne, L. J. E.; Gevaert, K.; Clement, L. (2018). "Experimental design and data analysis in label-free quantitative LC/MS proteomics: A tutorial with MSqRob". Journal of Proteomics. 171: 23–26. doi:10.1016/j.jprot.2017.04.004. PMID 28391044.
  72. ^ Goeminne, L. J. E.; Sticker, A.; Martens, M.; Gevaert, K.; Clement, L. (2020). "MSqRob takes the missing hurdle: uniting intensity- and count-based proteomics". Analytical Chemistry. XXXX (XX): 6278–6287. doi:10.1021/acs.analchem.9b04375. hdl:1854/LU-8671265. PMID 32227882. S2CID 214751205.
  73. ^ Migas, Lukasz G.; France, Aidan P.; Bellina, Bruno; Barran, Perdita E. (April 2018). "ORIGAMI : A software suite for activated ion mobility mass spectrometry (aIM-MS) applied to multimeric protein assemblies". International Journal of Mass Spectrometry. 427: 20–28. Bibcode:2018IJMSp.427...20M. doi:10.1016/j.ijms.2017.08.014. ISSN 1387-3806.
  74. ^ Carvalho, Paulo C; Fischer, Juliana SG; Chen, Emily I; Yates, John R; Barbosa, Valmir C (2008). "PatternLab for proteomics: a tool for differential shotgun proteomics". BMC Bioinformatics. 9: 316. doi:10.1186/1471-2105-9-316. PMC 2488363. PMID 18644148.
  75. ^ Ackerman, Miranda; Jacobo, Eduardo (2017). "Peak Strainer". doi:10.17617/1.47. {{cite journal}}: Cite journal requires |journal= (help)
  76. ^ Laboratory, National High Magnetic Field. "ICR Software - MagLab". nationalmaglab.org. Retrieved 2024-01-12.
  77. ^ Kuzniar, A.; Kanaar, R. (2014). "PIQMIe: a web server for semi-quantitative proteomics data management and analysis". Nucleic Acids Res. 42 (W1): W100–W106. doi:10.1093/nar/gku478. PMC 4086067. PMID 24861615.
  78. ^ Weatherly, D. B.; Atwood Ja, 3rd; Minning, TA; Cavola, C; Tarleton, RL; Orlando, R (2005). "A Heuristic Method for Assigning a False-discovery Rate for Protein Identifications from Mascot Database Search Results". Molecular & Cellular Proteomics. 4 (6): 762–72. doi:10.1074/mcp.M400215-MCP200. PMID 15703444. S2CID 18408543.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  79. ^ Keller, Andrew; Nesvizhskii, Alexey I.; Kolker, Eugene; Aebersold, Ruedi (2002). "Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search". Analytical Chemistry. 74 (20): 5383–92. doi:10.1021/ac025747h. PMID 12403597.
  80. ^ Nesvizhskii, AI; Keller, A; Kolker, E; Aebersold, R (2003). "A statistical model for identifying proteins by tandem mass spectrometry". Analytical Chemistry. 75 (17): 4646–58. doi:10.1021/ac0341261. PMID 14632076.
  81. ^ Specht, Michael; Kuhlgert, Sebastian; Fufezan, Christian; Hippler, Michael (2011). "Proteomics to go: Proteomatic enables the user-friendly creation of versatile MS/MS data evaluation workflows". Bioinformatics. 27 (8): 1183–1184. doi:10.1093/bioinformatics/btr081. PMID 21325302.
  82. ^ Sheng, Quanhu; Dai, Jie; Wu, Yibo; Tang, Haixu; Zeng, Rong (2012). "BuildSummary: using a group-based approach to improve the sensitivity of peptide/protein identification in shotgun proteomics". J Proteome Res. 11 (3): 1494–1502. doi:10.1021/pr200194p. PMID 22217156.
  83. ^ Gallant, James; Heunis, Tiaan; Sampson, Samantha; Bitter, Wilbert (2020). "ProVision: A web based platform for rapid analysis of proteomics data processed by MaxQuant". Bioinformatics. 36 (19): 4965–4967. doi:10.1093/bioinformatics/btaa620. PMC 7723325. PMID 32638008.
  84. ^ Bald, Till; Barth, Johannes; Niehues, Anna; Specht, Michael; Hippler, Michael; Fufezan, Christian (2012). "pymzML – Python module for high throughput bioinformatics on mass spectrometry data". Bioinformatics. 28 (7): 1052–3. doi:10.1093/bioinformatics/bts066. PMID 22302572.
  85. ^ Goloborodko, Anton; Levitsky, Lev; Ivanov, Mark; Gorshkov, Mikhail (2013). "Pyteomics — a Python framework for exploratory data analysis and rapid software prototyping in proteomics". J Am Soc Mass Spectrom. 24 (2): 301–4. Bibcode:2013JASMS..24..301G. doi:10.1007/s13361-012-0516-6. PMID 23292976. S2CID 22009929.
  86. ^ a b Titeca, Kevin; Meysman, Pieter; Gevaert, Kris; Tavernier, Jan; Laukens, Kris; Martens, Lennart; Eyckerman, Sven (2016-01-04). "SFINX: Straightforward Filtering Index for Affinity Purification-Mass Spectrometry Data Analysis". Journal of Proteome Research. 15 (1): 332–338. doi:10.1021/acs.jproteome.5b00666. ISSN 1535-3907. PMID 26616242.
  87. ^ Titeca, Kevin; Van Quickelberghe, Emmy; Samyn, Noortje; De Sutter, Delphine; Verhee, Annick; Gevaert, Kris; Tavernier, Jan; Eyckerman, Sven (May 2017). "Analyzing trapped protein complexes by Virotrap and SFINX". Nature Protocols. 12 (5): 881–898. doi:10.1038/nprot.2017.014. ISSN 1750-2799. PMID 28358392. S2CID 4391127.
  88. ^ Titeca, Kevin; Meysman, Pieter; Laukens, Kris; Martens, Lennart; Tavernier, Jan; Eyckerman, Sven (2017-06-15). "sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets". Bioinformatics. 33 (12): 1902–1904. doi:10.1093/bioinformatics/btx076. ISSN 1367-4811. PMID 28186257.
  89. ^ Lima, D. B.; De Lima, T. B.; Balbuena, T. S.; Neves-Ferreira, A. G.; Barbosa, V. C.; Gozzo, F. C.; Carvalho, P. C. (2015). "SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis". Journal of Proteomics. 129: 51–5. doi:10.1016/j.jprot.2015.01.013. hdl:11449/158584. PMID 25638023.
  90. ^ Zucht, Hans-Dieter; Lamerz, Jens; Khamenia, Valery; Schiller, Carsten; Appel, Annette; Tammen, Harald; Crameri, Reto; Selle, Hartmut (2005). "Datamining Methodology for LC-MALDI-MS Based Peptide Profiling". Combinatorial Chemistry & High Throughput Screening. 8 (8): 717–23. doi:10.2174/138620705774962481. PMID 16464158.
  91. ^ Götze, Michael; Pettelkau J; Schaks S; Bosse K; Ihling CH; Krauth F; Fritzsche R; Kühn U; Sinz A. (January 2012). "StavroX--a software for analyzing crosslinked products in protein interaction studies". J Am Soc Mass Spectrom. 23 (1): 76–87. Bibcode:2012JASMS..23...76G. doi:10.1007/s13361-011-0261-2. PMID 22038510. S2CID 38037472.
  92. ^ Pedrioli, Patrick G. A. (2010). "Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis". Proteome Bioinformatics. Methods in Molecular Biology. Vol. 604. pp. 213–238. doi:10.1007/978-1-60761-444-9_15. ISBN 978-1-60761-443-2. PMID 20013374.
  93. ^ Deutsch, Eric W.; Mendoza, Luis; Shteynberg, David; Farrah, Terry; Lam, Henry; Tasman, Natalie; Sun, Zhi; Nilsson, Erik; Pratt, Brian; Prazen, Bryan; Eng, Jimmy K.; Martin, Daniel B.; Nesvizhskii, Alexey I.; Aebersold, Ruedi (2010). "A guided tour of the Trans-Proteomic Pipeline". Proteomics. 10 (6): 1150–1159. doi:10.1002/pmic.200900375. ISSN 1615-9853. PMC 3017125. PMID 20101611.
  94. ^ Cody, Robert B.; Fouquet, Thierry (2019-07-01). "Elemental Composition Determinations Using the Abundant Isotope". Journal of the American Society for Mass Spectrometry. 30 (7): 1321–1324. Bibcode:2019JASMS..30.1321C. doi:10.1007/s13361-019-02203-9. ISSN 1044-0305. PMID 31062289.
  95. ^ Monroe, M. E.; Tolić, N.; Jaitly, N.; Shaw, J. L.; Adkins, J. N.; Smith, R. D. (2007). "VIPER: an advanced software package to support high-throughput LC-MS peptide identification". Bioinformatics. 23 (15): 2021–3. doi:10.1093/bioinformatics/btm281. PMID 17545182.
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