请输入您要查询的百科知识:

 

词条 List of mass spectrometry software
释义

  1. Proteomics software

      Database search algorithms    De novo sequencing algorithms    Homology searching algorithms  

  2. MS/MS peptide quantification

  3. Other software

  4. See also

  5. References

  6. External links

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

Proteomics software

{{details|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, whereas the latter infers peptide sequences without knowledge of genomic data.

Database search algorithms

Name Type Description
Andromeda (part of MaxQuant) freeware Andromeda is a peptide search engine based on probabilistic scoring. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. It can handle data with arbitrarily high fragment mass accuracy, it is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. Andromeda can function independently or integrated into MaxQuant. This combination enables analysis of large datasets on a desktop computer. Identification of co-fragmented peptides improves the number of identified peptides. Developed by Jürgen Cox and others at the Max Planck Institute of Biochemistry.[1]
Byonic proprietary Database search algorithm released in 2011 by Protein Metrics Inc. with original developments at PARC[2] that 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.
Comet open source Database search algorithm developed at the University of Washington available for Windows and Linux. Note that Comet is just a single command line binary that does MS/MS database search. It takes in spectra in some supported input format and writes out .pep.xml, .pin.xml, .sqt and/or .out files. You will need some other support tool(s) to actually make use of Comet results (A GUI for Windows only is available).[4]
Tide (rewrite of Crux) open source Tide is a tool for identifying peptides from tandem mass spectra. It is an independent reimplementation 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 has been completely re-engineered to achieve a thousandfold improvement in speed while exactly replicating SEQUEST XCorr scores. Developed at the University of Washington.[5]
Greylag open source Database search algorithm developed at the Stowers Institute for Medical Research designed to perform large searches on computational clusters having hundreds of nodes.
InsPecT open source A MS-alignment search algorithm available at the Center for Computational Mass Spectrometry at the University of California, San Diego[6]
Mascot proprietary Performs mass spectrometry data analysis through a statistical evaluation of matches between observed and projected peptide fragments.[7]
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 Search algorithm developed at Institute of Genomics and Integrative Biology available as a windows commandline tool.
MS-GF + open source MS-GF+ (aka MSGF+ or MSGFPlus) performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database. It supports the HUPO PSI standard input file (mzML) and saves results in the mzIdentML format, though results can easily be transformed to TSV. ProteomeXchange supports Complete data submissions using MS-GF+ search results. Developed at Center for Computational Mass Spectrometry at the University of California, San Diego, with later work at Pacific Northwest National Laboratory (PNNL)
MyriMatch open source 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.[8]
OMSSA freeware The Open Mass Spectrometry Search Algorithm (OMSSA) is an efficient search engine for identifying MS/MS peptide spectra by searching libraries of known protein sequences. OMSSA scores 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.[9][10]
PEAKS DBproprietary Database search engine, run in parallel with de novo sequencing to automatically validate search results, allowing for a higher number of 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.[11] 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 germinated in 2002 in Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Phenyx proprietary 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.[12]
ProbID open source PI is a powerful suite on analysis of tandem mass spectrum. ProbID seeks to fill the need for the deep analysis of tandem mass spectrum, including the fragmentation rules, preference of cleavage, neutral losses, etc. Developed at the Bioinformatics Group, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.[13]
ProLuCID freeware ProLuCID is a fast and sensitive tandem mass spectra-based protein identification program recently developed by Tao Xu and others in the Yates laboratory at The Scripps Research Institute.[14]
ProteinPilot Software proprietary 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 the peptide identification considering hundreds of modifications, non-tryptic cleavages and amino acid substitutions. Uses the Pro Group Algorithm for protein inference analysis to report the minimal set of proteins justified based on the peptide evidence. Supports quantification for label-based workflows (iTRAQ reagents, mTRAQ reagents and SILAC labeling). A translation layer translates user interface controls in the language of the proteomics experimental scientist to underlying complex informatics parameters.[15]
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 / Batch-Tag Web, with the results processed and displayed using Search Compare. It uses scoring systems tailored to instrument and fragmentation mode to optimize analysis of different types of fragmentation data.
RAId lost Developed at the National Center for Biotechnology Information, Robust Accurate Identification (RAId)[16] is a suite of proteomics tools for analyzing tandem mass spectrometry data with accurate statistics.[17]
SEQUESTproprietary Identifies collections of tandem mass spectra to peptide sequences that have been generated from databases of protein sequences.[18]
SIMS open source SIMS (Sequential Interval Motif Search) is a software tool design to perform unrestrictive PTM search over tandem mass spectra; users do not have to characterize the potential PTMs. Instead, users only need to specify the range of modification mass for each individual amino acid.[19]
SimTandem freeware 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.[20]
SQID open source SeQuence IDentification (SQID) is an intensity-incorporated protein identification algorithm for tandem mass spectrometry.
X!Tandem open source Matches tandem mass spectra with peptide sequences.

De novo sequencing algorithms

De novo peptide sequencing algorithms are based, in general, on the approach proposed in Bartels et al. (1990).[21]

Name Type Description
CycloBranch open source 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.[22]
DeNovoX proprietary De novo sequencing on CID spectra acquired with ion trap mass spectrometers delivering complete and/or partial peptide sequences (sequence tags).[23]
DeNoS Sequencing of peptides using all information from CAD and ECD spectra; part of the software tool Proteinmatching Analysis Software (PAS) which in turn is part of the software package Medicwave Bioinformatics Suite (MBS).[24]
Lutefisk open source Software for the de novo interpretation of peptide CID spectra.
Novor proprietary, free for academic research Real-time de novo peptide sequencing engine that is fast, accurate and easy to be integrated into research pipelines. Novor can de novo sequence more than 300 MS/MS spectra per second on a Macbook Pro laptop computer.[25]
PEAKS proprietary De novo sequencing for each peptide, confidence scores on individual amino acid assignments with manually assisted modeand automated de novo sequencing on an entire LC run processed data faster than 1 spectrum per second.[26][27]
Supernovo proprietary A unique, hands-free solution for end-to-end de novo sequencing of monoclonal antibodies

Homology searching algorithms

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, 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

{{details|Quantitative proteomics}}
Name Type Description
MarkerView Software proprietary Commercial software for statistical analysis for quantitative mass spec data sets from metabolomics and proteomic profiling applications.
Mascot Distiller proprietary Software for peak picking and raw data preprocessing. Has an optional toolbox for label-free quantification as well as isobaric labeling and isotopic labeling. 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, supports complex data treatments 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 written in C# that allows the analysis of label free and SILAC based proteomics experiments.
MultiQuant Software proprietary Can process quantitative data sets from TripleTOF or QTRAP systems, including MRM and SWATH Acquisition.
OpenMS / TOPP open source Software C++ library for LC-MS/MS data management and analysis that offers an infrastructure for the development of mass spectrometry related software. Allows peptide and metabolite quantification, supporting label-free and isotopic-label based quantification (such as iTRAQ and TMT and SILAC) as well as targeted SWATH-MS quantification.[28]
ProtMax freeware ProtMAX[29] is a software tool for analyzing shotgun proteomics mass spectrometry data sets, developed by Volker Egelhofer at the University of Vienna.
Spectronaut proprietary Commercial software for quantitative proteomics developed by Biognosys AG (Schlieren, Switzerland) based on the mProphet algorithm[30] that allows the targeted analysis of data independent acquisition (DIA) data sets for label-free peptide quantitation, also called SWATH acquisition.[31]
Skyline open source Open source (Apache 2.0) Windows client software developed in the MacCoss lab at University of Washington[32] that 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 analyzing the resulting mass spectrometer data.
SWATH Software 2.0 proprietary Commercial software processing tool within PeakView that 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.
BACIQ open source BACIQ is a mathematically rigorous approach that integrates peptide intensities and peptide-measurement agreement into confidence intervals for protein ratios (BACIQ). The main advantages of BACIQ are: 1) it removes the need to threshold reported peptide signal based on an arbitrary cut-off, thereby reporting more measurements from a given experiment; 2) confidence can be assigned without replicates; 3) for repeated experiments BACIQ provides confidence intervals for the union, not the intersection, of quantified proteins; 4) for repeated experiments, BACIQ confidence intervals are more predictive than confidence intervals based on protein measurement agreement.

Other software

Name Type Description
ArtIST by Clover Biosoft proprietary (Artificial Intelligence Straing Typing) MALDI-TOF MS data analysis and biomarker discovery tools, based on artificial intelligence and machine learning algorithms. ArtIST is an online service.
Advanced Chemistry Development proprietary Commercial solutions for the interpretation of MS and xC/MS data with spectrum/structure matching, identification of known and unknown metabolites, as well as for the identification of compounds through spectral comparison.
Analyst proprietary Software by AB Sciex, a division of The Danaher Corporation.
AnalyzerPro proprietary A vendor independent software application for processing mass spectrometry data that can analyze both GC-MS and LC-MS data using both qualitative and quantitative data processing and is used for metabolomics data processing using MatrixAnalyzer for the comparison of multiple data sets.
Chromeleon proprietary Software by Thermo Fisher Scientific used with mass spectrometry instruments, as well as chromatography instruments.
Crosslinx open source Identify cross-linked peptides from mzML files. Python script or standalone executables for Linux and Windows. Feasible for bigger databases with a two-step approach.[33]
DeNovoGUI open source Software with a graphical user interface for running parallelized versions of the freely available de novo sequencing software tools Novor and PepNovo+.[34]
Easotope open source Software for archiving, organizing, and analyzing mass spectrometer data. Currently oriented toward clumped CO2 analysis but also useful for bulk CO2 work and expandable to other isotopic systems.
ESIprot Enables the charge state determination and molecular weight calculation for low resolution electrospray ionization (ESI) mass spectrometry (MS) data of proteins.[35]
KnowItAll Spectroscopy Software & Mass Spectral Library proprietary Software from Bio-Rad Laboratories, Inc. with solutions for mass spectrometry including: spectral analysis, database searching (spectrum, structure, peak, property, etc.), processing, database building (MS or multiple techniques including IR, Raman, NMR, UV, Chromatograms), spectral subtraction, plus tools for reporting and ChemWindow structure drawing.
LabSolutions LCMS proprietary Software by Shimadzu Corporation used with mass spectrometry and HPLC instruments.
Mass++ open source Analysis software for mass spectrometry that 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.jp website website hosted by the Institute for Advanced Biosciences, in Keio University, Tsuruoka City, Yamagata, Japan with mass spectrometric data for organic compounds.
MassBank.euwebsiteEuropean MassBank server. The website is maintained and hosted by the Helmholtz Centre for Environmental Research (Leipzig, Germany)
MassBankopen sourceMassBank and RMassBank development website provided by the MassBank consortium. MassBank data is shared under a Creative Commons license.
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.
MassMap proprietary General-purpose software suite for automated evaluation of MS data by MassMap GmbH & Co. KG, 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 method for the identification of unexpected/unknown components in even very complex mixtures.
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 and 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 preprocessed data for biomarker discovery, unsupervised clustering and supervised sample classification.[36]
massXpert open source GPL Graphical user interface-based (GUI) software for simulating and analyzing mass spectrometric data obtained on known bio-polymer sequences.[37] Successor to polyxmass.
METLIN Database and Technology Platform proprietary Created in 2003, METLIN now includes over a million molecules ranging from lipids, steroids, plant & bacteria metabolites, small peptides, carbohydrates, exogenous drugs/metabolites, central carbon metabolites and toxicants. The metabolites and other small molecules have been individually analyzed to provide both empirical and in silico MS/MS data.
mMass open source Multi-platform package of tools for mass spectrometric data analysis and interpretation written in Python.
MolAna MolAna was developed by Phenomenome Discoveries Inc, (PDI) for use in IONICS Mass Spectrometry Group's 3Q Molecular Analyzer, Triple quadrupole mass spectrometer
ms2mz freeware Utility for converting between mass spectrometer file formats, e.g. to convert proprietary binary files to MGF peak list files to prepare files for upload to Proteome Cluster.
MSGraph open source
MSight freeware Software for mass spectrometry imaging developed by the Swiss Institute of Bioinformatics.[38]
MSiReader freeware Vendor-neutral interface built on the Matlab platform designed to view and perform data analysis of mass spectrometry imaging (MSI) data.[39] Matlab is not required to use MSiReader.
mspire open-source Mass spectrometry informatics developers 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.[40]
MultimagingSoftware 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 2 open source An open-source software for mass-spectrometry data processing, with the main focus on LC-MS data.
OmicsHub Proteomics OmicsHub Proteomics combines a LIMS for mass spec information management with data analysis functionalities on one platform.
OpenChrom open source Chromatography and mass spectrometry software that can be extended using plug-ins and is available for several operating systems (Microsoft Windows, Linux, Unix, Mac OS X) and processor architectures (x86, x86_64, ppc). with converters for the native access of various data files, e.g. converters for mzXML, netCDF, Agilent, Finnigan and Varian file formats.
ORIGAMIopen sourceSoftware suite for analysis of mass spectrometry and ion mobility mass spectrometry datasets. ORIGAMI was originally developed to improve the analysis workflows of activated IM-MS/collision induced unfolding (CIU) datasets and allow seamless visualisation of results. Recently, ORIGAMI was modified to be more accepting of non-MS centric and enables visualisation of results from other sources as well as enables exporting of all results in an interactive format where the user can share any dataset and visualise in an internet browser.[41]
PatternLab freeware Software for post-analysis of SEQUEST, ProLuCID or Comet database search results filtered by DTASelect or Census.[42]
SIM-XL freeware Spectrum Identification Machine for Cross-linked Peptides (SIM-XL) is a fast and sensitive XL search engine which is part of the PatternLab for proteomics environment, to analyze tandem mass spectrometry data derived from cross-linked peptides.[43]
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 3-4X effective resolution improvement in post-processing of raw profile data output from mass specs. Veritomyx advanced signal processing software for peak detection, deconvolution, and centroiding of raw profile mass spec data reveals multiple peaks hidden in overlapped data. Notable features: order-of-magnitude improvements in mass and abundance precision for deconvolved peaks; local dynamic baselining; advanced thresholding algorithm increases sensitivity across wide dynamic range; statistically-driven and completely automated (no user-to-user variation). More complete and precise resulting mass lists facilitate faster and cost-efficient subsequent determination of correct biomolecular identifications.
PinnacleProprietaryFrom comprehensive quantitation of 10,000s of proteins across of 100s of samples using DDA, DIA, PRM or SRM with fully integrated statistics and biological interpretation, to complete N-linked glycoprotein identification routine, to a very in-depth analysis in protein characterization, including peptide mapping, error tolerant search and disulfide analysis, all of this is available in a single software. Analyzing 100s of samples brings big challenges of LC and MS variation when run over months of acquisition, and the software can automatically correct for this. The visualization, editing and annotation capabilities can be tailored to be at the high level of proteins or at a much lower level of transitions or isotopes.
PIQMIe web Proteomics Identifications/quantitations data management and integration service is a web-based tool that aids in reliable and scalable data management, analysis and visualization of semi-quantitative (SILAC) proteomics experiments.[44]
POTAMOS open source Web application that provides calculated mass spectrometry data independently of instrumentation focused on a well known protein family of histones whose PTMs are believed to play a crucial role in gene regulation; calculates the kind, the number and the combinations of the possible PTMs corresponding to a given peptide sequence and a given mass.
PROTRAWLER LC/MS data reduction application that reads raw mass spectrometry vendor data (from a variety of well-known instrument companies) and creates lists of {mass, retention time, integrated signal intensity} triplets summarizing the LC/MS chromatogram.
ProteoIQ proprietary Software for the post-analysis of Mascot, SEQUEST, or X!Tandem database search results.[45][46][47]
Proteomatic Freeware Data processing pipeline created for the purpose of evaluating mass spectrometric proteomics experiments.[48]
ProteomicsTools open source Software for the post-analysis of MASCOT, SEQUEST, Comet, XTandem, PFind, PeptidePhophet, MyriMatch, MSGF, OMSSA, MSAmanda or Percolator database search result.[49]
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.
ProteoWorkerproprietary Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
pymzML open source Python module to interface mzML data in Python based on cElementTree with additional tools for MS-informatics.[50]
Pyteomics open source A Python framework for proteomics data analysis.[51]
Quantinetix Software for mass spectrometry imaging designed to quantify and normalize MS images in various study types that is compatible with a variety of MSI instruments, including Bruker, Sciex, Thermo and with iMZML.
Rational Numbers Excel Add-In proprietary De novo identification tool that works with Microsoft Excel 2010, Excel 2013, and Excel 2016.
Rational Numbers Search proprietary Identification of small molecules by comparison of accurate-mass fragmentation data to a database of 250000 molecules represented as mathematical partitions
REGATTA 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} lists.
RemoteAnalyzer proprietary Software by SpectralWorks Limited 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 is provided.
Scaffold proprietary Suite of proteomics tools for analyzing spectra, peptides and proteins across multiple samples.
SCIEX OSproprietaryNext generation software by SCIEX controlling the X-series mass spectrometers and support for data analysis acquired using the Analyst software suite.
SCiLS Lab Statistical analysis of MALDI imaging mass spectrometry data that integrates with Bruker MALDI imaging.
SimGlycan proprietary Predicts the structure of glycans and glycopeptides using mass spectrometry MS/MS data.
SIMION proprietary Ion optics simulation program
Spectrolyzer Spectrolyzer is a Microsoft Windows-based software package that provides bioinformatics data analysis tools for different mass spectrometers that focuses on finding protein biomarkers and detecting protein deviations.
Spectromania proprietary Software for analysis and visualization of mass spectrometric data.[52]
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.[53]
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
TurboMass proprietary GC/MS software by PerkinElmer.
Trans-Proteomic Pipeline (TPP) open source The Trans-Proteomic Pipeline (TPP) is a collection of integrated tools for MS/MS proteomics that includes PeptideProphet for the Statistical validation of PSMs using search engine results, iProphet for distinct peptide sequence validation, using PeptideProphet results (can also combine the results of multiple search engines) and ProteinProphet for Protein identification and validation, using PeptideProphet OR iProphet results. TPP does also Protein Quantification with XPRESS (Calculation of relative abundances of peptides and proteins 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. Developed at the Seattle Proteomic Centre (SPC).[54][55]
Universal Mass Calculator Universal Mass Calculator (UMC) for Windows written in C++ is a proprietary toolbox for calculating relevant information from sum formulae, e.g. isotope distribution, mass differences, mass deviations and mass/isotope information of the elements, degree of deuteration.
VIPER Analysis of accurate mass and chromatography retention time analysis of LC-MS features (accurate mass and time tag approach).[56]
Xcalibur proprietary Software by Thermo Fisher Scientific used with mass spectrometry instruments.
XCMS Online (Cloud-Based) proprietary Freely available and the most widely used metabolomic and lipidomic data processing platform with over 21,000 users as of 2017.

See also

  • Mass spectrometry data format: for a list of mass spectrometry data viewers and format converters.
  • List of protein structure prediction software

References

1. ^{{cite journal|last1=Cox|first1=Jürgen|last2=Neuhauser|first2=Nadin|last3=Michalski|first3=Annette|last4=Scheltema|first4=Richard A.|last5=Olsen|first5=Jesper V.|last6=Mann|first6=Matthias|title=Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment|journal=Journal of Proteome Research|volume=10|issue=4|year=2011|pages=1794–1805|issn=1535-3893|doi=10.1021/pr101065j|pmid=21254760}}
2. ^{{cite journal |last1=Bern |first1=Marshall |last2=Cai |first2=Yuhan |last3=Goldberg |first3=David |title=Lookup Peaks: A Hybrid of de Novo Sequencing and Database Search for Protein Identification by Tandem Mass Spectrometry |journal=Analytical Chemistry |volume=79 |issue=4 |pages=1393–1400 |year=2007 |pmid=17243770 |doi=10.1021/ac0617013}}
3. ^{{cite journal |last1=Bern |first1=Marshall |last2=Goldberg |first2=David |title=Improved Ranking Functions for Protein and Modification-Site Identifications |journal=Journal of Computational Biology |volume=15 |issue=7 |pages=705–719 |year=2008 |pmid=18651800 |doi=10.1089/cmb.2007.0119}}
4. ^{{cite journal|last1=Eng|first1=Jimmy K.|last2=Jahan|first2=Tahmina A.|last3=Hoopmann|first3=Michael R.|title=Comet: An open-source MS/MS sequence database search tool|journal=Proteomics|volume=13|issue=1|year=2013|pages=22–24|issn=1615-9853|doi=10.1002/pmic.201200439|pmid=23148064}}
5. ^{{cite journal|last1=Diament|first1=Benjamin J.|last2=Noble|first2=William Stafford|title=Faster SEQUEST Searching for Peptide Identification from Tandem Mass Spectra|journal=Journal of Proteome Research|volume=10|issue=9|year=2011|pages=3871–3879|issn=1535-3893|doi=10.1021/pr101196n|pmid=21761931|pmc=3166376}}
6. ^{{cite web|url= |title=Inspect and MS-Alignment }}
7. ^{{cite journal |last1=Perkins |first1=David N. |last2=Pappin |first2=Darryl J. C. |last3=Creasy |first3=David M. |last4=Cottrell |first4=John S. |title=Probability-based protein identification by searching sequence databases using mass spectrometry data |journal=Electrophoresis |volume=20 |issue=18 |pages=3551–67 |year=1999 |pmid=10612281 |doi=10.1002/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2}}
8. ^{{cite journal |last1=Tabb |first1=David L. |last2=Fernando |first2=Christopher G. |last3=Chambers |first3=Matthew C. |title=MyriMatch:  Highly Accurate Tandem Mass Spectral Peptide Identification by Multivariate Hypergeometric Analysis |journal=Journal of Proteome Research |volume=6 |issue=2 |pages=654–61 |year=2007 |pmid=17269722 |pmc=2525619 |doi=10.1021/pr0604054}}
9. ^{{cite web|url=https://pubchem.ncbi.nlm.nih.gov/omssa/ |title=OMSSA ms/ms search engine |publisher=Pubchem.ncbi.nlm.nih.gov |accessdate=2011-09-27}}
10. ^{{cite journal |last1=Geer |first1=Lewis Y. |last2=Markey |first2=Sanford P. |last3=Kowalak |first3=Jeffrey A. |last4=Wagner |first4=Lukas |last5=Xu |first5=Ming |last6=Maynard |first6=Dawn M. |last7=Yang |first7=Xiaoyu |last8=Shi |first8=Wenyao |last9=Bryant |first9=Stephen H. |title=Open Mass Spectrometry Search Algorithm |journal=Journal of Proteome Research |volume=3 |issue=5 |pages=958–64 |year=2004 |pmid=15473683 |doi=10.1021/pr0499491 |arxiv=q-bio/0406002 |bibcode=2004q.bio.....6002G }}
11. ^{{cite journal |last1=Liang |first1=C |last2=Smith |first2=JC |last3=Hendrie |first3=Christopher | title=A Comparative Study of Peptide Sequencing Software Tools for MS/MS |conference=American Society for Mass Spectrometry |year=2003}}
12. ^{{cite journal |last1=Colinge |first1=Jacques |last2=Masselot |first2=Alexandre |last3=Giron |first3=Marc |last4=Dessingy |first4=Thierry |last5=Magnin |first5=Jérôme |title=OLAV: Towards high-throughput tandem mass spectrometry data identification |journal=Proteomics |volume=3 |issue=8 |pages=1454–63 |year=2003 |pmid=12923771 |doi=10.1002/pmic.200300485}}
13. ^{{cite journal|last1=Zhang|first1=Zhuo|title=A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data|last2=Sun|first2=Shiwei|last3=Zhu|first3=Xiaopeng|last4=Chang|first4=Suhua|last5=Liu|first5=Xiaofei|last6=Yu|first6=Chungong|last7=Bu|first7=Dongbo|last8=Chen|first8=Runsheng|journal=BMC Bioinformatics|volume=7|issue=1|year=2006|pages=222|issn=1471-2105|doi=10.1186/1471-2105-7-222|pmid=16638152|pmc=1463009}}
14. ^{{cite journal|last1=Xu|first1=T.|last2=Park|first2=S.K.|last3=Venable|first3=J.D.|last4=Wohlschlegel|first4=J.A.|last5=Diedrich|first5=J.K.|last6=Cociorva|first6=D.|last7=Lu|first7=B.|last8=Liao|first8=L.|last9=Hewel|first9=J.|last10=Han|first10=X.|last11=Wong|first11=C.C.L.|last12=Fonslow|first12=B.|last13=Delahunty|first13=C.|last14=Gao|first14=Y.|last15=Shah|first15=H.|last16=Yates|first16=J.R.|title=ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity|journal=Journal of Proteomics|volume=129|year=2015|pages=16–24|issn=1874-3919|doi=10.1016/j.jprot.2015.07.001|pmid=26171723|pmc=4630125}}
15. ^{{cite journal|last1=Shilov|first1=Ignat V.|last2=Seymour|first2=Sean L.|last3=Patel|first3=Alpesh A.|last4=Loboda|first4=Alex|last5=Tang|first5=Wilfred H.|last6=Keating|first6=Sean P.|last7=Hunter|first7=Christie L.|last8=Nuwaysir|first8=Lydia M.|last9=Schaeffer|first9=Daniel A.|title=The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra|journal=Molecular & Cellular Proteomics|volume=6|issue=9|year=2007|pages=1638–1655|issn=1535-9476|doi=10.1074/mcp.T600050-MCP200|pmid=17533153}}
16. ^{{cite web|url=https://www.ncbi.nlm.nih.gov/CBBresearch/Yu/raid/index.html |title=RAId MS/MS search engine|publisher=QMBP NCBI NLM NIH |accessdate=2008-01-01}}
17. ^{{cite journal |last1=Alves |first1=Gelio |last2=Ogurtsov |first2=Aleksey Y. |last3=Yu |first3=Yi-Kuo |title=RAId_DbS: peptide identification using database searches with realistic statistics |journal=Biol Direct |volume=2 |page=25 |year=2007 |pmid=17961253 |doi=10.1186/1745-6150-2-25 |pmc=2211744}}
18. ^{{cite journal | author = Jimmy K. Eng, Ashley L. McCormack, and John R. Yates, III | title = An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database | journal = J Am Soc Mass Spectrom | volume = 5 | pages = 976–989 | year = 1994 | doi = 10.1016/1044-0305(94)80016-2 | issue = 11 | pmid = 24226387 }}
19. ^{{cite journal|last1=Hricovíni|first1=Miloš|last2=Tvaroška|first2=Igor|last3=Hirsch|first3=Ján|last4=Duben|first4=Anthony J.|title=Nuclear overhauser effects and the flexibility of saccharides: methyl β-xylobioside|journal=Carbohydrate Research|volume=210|year=1991|pages=13–20|issn=0008-6215|doi=10.1016/0008-6215(91)80109-Z|pmid=1878875}}
20. ^{{cite journal | first1 = Jiri | last1 = Novak | first2 = Timo | last2 = Sachsenberg | first3 = David | last3 = Hoksza | first4 = Tomas | last4 = Skopal | first5 = Oliver | last5 = Kohlbacher | title = On Comparison of SimTandem with State-of-the-Art Peptide Identification Tools, Efficiency of Precursor Mass Filter and Dealing with Variable Modifications | journal = Journal of Integrative Bioinformatics | volume = 10 | issue = 3 | pages = 1–15 | year = 2013 | doi = 10.1515/jib-2013-228 }}
21. ^{{cite journal|last=Bartels|first=Christian|title=Fast algorithm for peptide sequencing by mass spectroscopy|journal=Biological Mass Spectrometry|date=31 May 1990|volume=19|issue=6|pages=363–368|doi=10.1002/bms.1200190607}}
22. ^{{cite journal | first1 = Jiri | last1 = Novak | first2 = Karel | last2 = Lemr | first3 = Kevin A. | last3 = Schug | first4 = Vladimir | last4 = Havlicek | title = CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra | journal = J. Am. Soc. Mass Spectrom. | volume = 26 | issue = 10 | pages = 1780–1786 | pmid = 26195308 | year = 2015 | doi = 10.1007/s13361-015-1211-1 | bibcode = 2015JASMS.tmp..155N }}
23. ^thermo finnigan introduces denovox – Search results from HighBeam Business{{Dead link|date=February 2015}}
24. ^{{cite journal |last1=Savitski |first1=Mikhail M. |last2=Nielsen |first2=Michael L. |last3=Kjeldsen |first3=Frank |last4=Zubarev |first4=Roman A. |title=Proteomics-Grade de Novo Sequencing Approach |journal=Journal of Proteome Research |volume=4 |issue=6 |year=2005 |pmid=16335984 |doi=10.1021/pr050288x |pages=2348–54}}
25. ^{{cite journal|last1=Ma|first1=Bin|title=Novor: Real-Time Peptide de Novo Sequencing Software|journal=Journal of the American Society for Mass Spectrometry|date=30 June 2015|doi=10.1007/s13361-015-1204-0|pmid=26122521|pmc=4604512|volume=26|issue=11|pages=1885–1894|bibcode=2015JASMS..26.1885M}}
26. ^{{cite journal |last1=Ma |first1=Bin |last2=Zhang |first2=Kaizhong |last3=Hendrie |first3=Christopher |last4=Liang |first4=Chengzhi |last5=Li |first5=Ming |last6=Doherty-Kirby |first6=Amanda |last7=Lajoie |first7=Gilles |title=PEAKS: powerful software for peptidede novo sequencing by tandem mass spectrometry |journal=Rapid Communications in Mass Spectrometry |volume=17 |issue=20 |pages=2337–42 |year=2003 |pmid=14558135 |doi=10.1002/rcm.1196|bibcode=2003RCMS...17.2337M }}
27. ^{{cite journal |last1=Tannu |first1=Nilesh S |last2=Hemby |first2=Scott E |title=De novo protein sequence analysis of Macaca mulatta |journal=BMC Genomics |volume=8 |page=270 |year=2007 |pmid=17686166 |pmc=1965481 |doi=10.1186/1471-2164-8-270}}
28. ^{{cite journal |vauthors=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 |title=OpenMS: a flexible open-source software platform for mass spectrometry data analysis |journal=Nat. Methods |volume=13 |issue=9 |pages=741–8 |year=2016 |pmid=27575624 |doi=10.1038/nmeth.3959 |url=http://edoc.mdc-berlin.de/15966/13/15966oa.pdf }}
29. ^{{cite journal |vauthors=Egelhofer V, Hoehenwarter W, Lyon D, Weckwerth W, Wienkoop S |title=Using ProtMAX to create high-mass-accuracy precursor alignments from label-free quantitative mass spectrometry data generated in shotgun proteomics experiments |journal=Nat Protoc |volume=8 |issue=3 |pages=595–601 |year=2013 |pmid=23449253 |doi=10.1038/nprot.2013.013 }}
30. ^{{cite journal|last=Reiter|first=L|title=mProphet: automated data processing and statistical validation for large-scale SRM experiments|journal=Nat Methods|date=2011|volume=8|issue=5|pages=430–435|doi=10.1038/nmeth.1584|pmid=21423193|display-authors=etal}}
31. ^{{cite journal|last=Law|first=KP|author2=Lim YP |title=Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring|journal=Expert Rev Proteomics|date=2013|volume=10|issue=6|pages=551–566|doi=10.1586/14789450.2013.858022|pmid=24206228}}
32. ^{{cite journal|last=Maclean|first=B|title=Skyline: An Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments|journal=Bioinformatics|date=2010|volume=26|issue=7|pages=966–968|doi=10.1093/bioinformatics/btq054|pmid=20147306|pmc=2844992}}
33. ^{{cite journal |last1=Ozawa |first1=SI |last2=Bald |first2=T |last3=Onishi |first3=T |last4=Xue |first4=H |last5=Matsumura |first5=T |last6=Kubo |first6=R |last7=Takahashi |first7=H |last8=Hippler |first8=M |last9=Takahashi |first9=Y |title=Configuration of Ten Light-Harvesting Chlorophyll a/b Complex I Subunits in Chlamydomonas reinhardtii Photosystem I. |journal=Plant Physiology |date=October 2018 |volume=178 |issue=2 |pages=583–595 |doi=10.1104/pp.18.00749 |pmid=30126869 |pmc=6181050 }}
34. ^{{cite journal|last1=Muth|first1=Thilo|last2=Weilnböck|first2=Lisa|last3=Rapp|first3=Erdmann|last4=Huber|first4=Christian G.|last5=Martens|first5=Lennart|last6=Vaudel|first6=Marc|last7=Barsnes|first7=Harald|title=DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra|journal=Journal of Proteome Research|volume=13|issue=2|year=2014|pages=1143–1146|issn=1535-3893|doi=10.1021/pr4008078|pmid=24295440|pmc=3923451}}
35. ^{{cite journal |last1=Winkler |first1=Robert |title=ESIprot: a universal tool for charge state determination and molecular weight calculation of proteins from electrospray ionization mass spectrometry data |journal=Rapid Communications in Mass Spectrometry |volume=24 |issue=3 |year=2010 |pmid=20049890 |doi=10.1002/rcm.4384 |pages=285–94}}
36. ^{{cite journal | doi=10.1186/s12859-015-0752-4 | volume=16 | title=Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery | journal=BMC Bioinformatics | pmid=26437641 | pmc=4595311 | page=318 | last1 = López-Fernández | first1 = H | last2 = Santos | first2 = HM | last3 = Capelo | first3 = JL | last4 = Fdez-Riverola | first4 = F | last5 = Glez-Peña | first5 = D | last6 = Reboiro-Jato | first6 = M| year=2015 }}
37. ^{{cite journal |last1=Rusconi |first1=F. |title=massXpert 2: a cross-platform software environment for polymer chemistry modelling and simulation/analysis of mass spectrometric data |journal=Bioinformatics |volume=25 |issue=20 |year=2009 |pmid=19740912 |doi=10.1093/bioinformatics/btp504 |pages=2741–2}}
38. ^{{cite journal |last1=Palagi |first1=Patricia M. |last2=Walther |first2=Daniel |last3=Quadroni |first3=Manfredo |last4=Catherinet |first4=SéBastien |last5=Burgess |first5=Jennifer |last6=Zimmermann-Ivol |first6=Catherine G. |last7=Sanchez |first7=Jean-Charles |last8=Binz |first8=Pierre-Alain |last9=Hochstrasser |first9=Denis F. |title=MSight: An image analysis software for liquid chromatography-mass spectrometry |journal=Proteomics |volume=5 |issue=9 |pages=2381–4 |year=2005 |pmid=15880814 |doi=10.1002/pmic.200401244 |last10=Appel |first10=Ron D.}}
39. ^{{cite journal |last= Robichaud |first= Guillaume |last2=Garrard |first2= Kenneth P. |last3=Barry |first3= Jeremy A. |last4=Muddiman |first4= David C. |date= March 2013 |journal= Journal of the American Society for Mass Spectrometry |volume= 24 |issue=5 |pages=718–721 |title=MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform |doi=10.1007/s13361-013-0607-z |pmid=23536269 |pmc=3693088|bibcode=2013JASMS..24..718R }}
40. ^{{Cite journal | last1 = Prince | first1 = J. T. | last2 = Marcotte | first2 = E. M. | doi = 10.1093/bioinformatics/btn513 | title = Mspire: Mass spectrometry proteomics in Ruby | journal = Bioinformatics | volume = 24 | issue = 23 | pages = 2796–2797 | year = 2008 | pmid = 18930952 | pmc =2639276 }}
41. ^{{Cite journal|last=Migas|first=Lukasz G.|last2=France|first2=Aidan P.|last3=Bellina|first3=Bruno|last4=Barran|first4=Perdita E.|date=April 2018|title=ORIGAMI : A software suite for activated ion mobility mass spectrometry (aIM-MS) applied to multimeric protein assemblies|journal=International Journal of Mass Spectrometry|volume=427|pages=20–28|doi=10.1016/j.ijms.2017.08.014|issn=1387-3806|bibcode=2018IJMSp.427...20M}}
42. ^{{cite journal |last1=Carvalho |first1=Paulo C |last2=Fischer |first2=Juliana SG |last3=Chen |first3=Emily I |last4=Yates |first4=John R |last5=Barbosa |first5=Valmir C |title=PatternLab for proteomics: a tool for differential shotgun proteomics |journal=BMC Bioinformatics |volume=9 |page=316 |year=2008 |pmid=18644148 |pmc=2488363 |doi=10.1186/1471-2105-9-316}}
43. ^{{Cite journal | pmid = 25638023| year = 2015| author1 = Lima| first1 = D. B.| title = SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis| journal = Journal of Proteomics| last2 = De Lima| first2 = T. B.| last3 = Balbuena| first3 = T. S.| last4 = Neves-Ferreira| first4 = A. G.| last5 = Barbosa| first5 = V. C.| last6 = Gozzo| first6 = F. C.| last7 = Carvalho| first7 = P. C.| doi = 10.1016/j.jprot.2015.01.013 | volume=129 | pages=51–5}}
44. ^{{cite journal|title=PIQMIe: a web server for semi-quantitative proteomics data management and analysis.|journal=Nucleic Acids Res|year=2014|volume=42|issue=W1|pages=W100–W106|doi=10.1093/nar/gku478|last1=Kuzniar|first1=A.|last2=Kanaar|first2=R.|pmid=24861615|pmc = 4086067}}
45. ^{{cite journal |last1=Weatherly |first1=D. B. |title=A Heuristic Method for Assigning a False-discovery Rate for Protein Identifications from Mascot Database Search Results |journal=Molecular & Cellular Proteomics |volume=4 |pages=762–72 |year=2005 |doi=10.1074/mcp.M400215-MCP200 |pmid=15703444 |issue=6 |last2=Atwood Ja |first2=3rd |last3=Minning |first3=TA |last4=Cavola |first4=C |last5=Tarleton |first5=RL |last6=Orlando |first6=R}}
46. ^{{cite journal |last1=Keller |first1=Andrew |last2=Nesvizhskii |first2=Alexey I. |last3=Kolker |first3=Eugene |last4=Aebersold |first4=Ruedi |title=Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search |journal=Analytical Chemistry |volume=74 |issue=20 |pages=5383–92 |year=2002 |pmid=12403597 |doi=10.1021/ac025747h}}
47. ^{{cite journal |doi=10.1021/ac0341261 |last1=Nesvizhskii |first1=AI |last2=Keller |first2=A |last3=Kolker |first3=E |last4=Aebersold |first4=R |title=A statistical model for identifying proteins by tandem mass spectrometry |journal=Analytical Chemistry |volume=75 |issue=17 |pages=4646–58 |year=2003 |pmid=14632076}}
48. ^{{cite journal |last1=Specht |first1=Michael |last2=Kuhlgert |first2=Sebastian |last3=Fufezan |first3=Christian |last4=Hippler |first4=Michael |title=Proteomics to go: Proteomatic enables the user-friendly creation of versatile MS/MS data evaluation workflows |journal=Bioinformatics |volume=27 |issue=8 |pages=1183–1184 |year=2011 |doi=10.1093/bioinformatics/btr081 |pmid=21325302}}
49. ^{{cite journal |last1=Sheng |first1=Quanhu |last2=Dai |first2=Jie |last3=Wu |first3=Yibo |last4=Tang |first4=Haixu |last5=Zeng |first5=Rong |title=BuildSummary: using a group-based approach to improve the sensitivity of peptide/protein identification in shotgun proteomics |journal=J Proteome Res |volume=11 |issue=3 |pages=1494–1502 |year=2012 |doi=10.1021/pr200194p |pmid=22217156}}
50. ^{{cite journal |last1=Bald |first1=Till |last2=Barth |first2=Johannes |last3=Niehues |first3=Anna |last4=Specht |first4=Michael |last5=Hippler |first5=Michael |last6=Fufezan |first6=Christian |title=pymzML – Python module for high throughput bioinformatics on mass spectrometry data |journal=Bioinformatics |year=2012 |doi=10.1093/bioinformatics/bts066 |volume=28 |issue=7 |pages=1052–3 |pmid=22302572}}
51. ^{{cite journal |last1=Goloborodko |first1=Anton |last2=Levitsky |first2=Lev |last3=Ivanov |first3=Mark |last4=Gorshkov |first4=Mikhail |title=Pyteomics — a Python framework for exploratory data analysis and rapid software prototyping in proteomics |journal=J Am Soc Mass Spectrom |year=2013 |doi=10.1007/s13361-012-0516-6 |pmid=23292976 |volume=24 |issue=2 |pages=301–4 |bibcode=2013JASMS..24..301G }}
52. ^{{cite journal |last1=Zucht |first1=Hans-Dieter |last2=Lamerz |first2=Jens |last3=Khamenia |first3=Valery |last4=Schiller |first4=Carsten |last5=Appel |first5=Annette |last6=Tammen |first6=Harald |last7=Crameri |first7=Reto |last8=Selle |first8=Hartmut |title=Datamining Methodology for LC-MALDI-MS Based Peptide Profiling |journal=Combinatorial Chemistry & High Throughput Screening |volume=8 |pages=717–23 |year=2005 |doi=10.2174/138620705774962481 |issue=8}}
53. ^{{cite journal|last=Götze|first=Michael|author2=Pettelkau J |author3=Schaks S |author4=Bosse K |author5=Ihling CH |author6=Krauth F |author7=Fritzsche R |author8=Kühn U |author9=Sinz A. |title=StavroX--a software for analyzing crosslinked products in protein interaction studies|journal=J Am Soc Mass Spectrom|date=January 2012|volume=23|issue=1|pages=76–87|doi=10.1007/s13361-011-0261-2|pmid=22038510|bibcode=2012JASMS..23...76G}}
54. ^{{cite book|last1=Pedrioli|first1=Patrick G. A.|title=Proteome Bioinformatics|journal=|volume=604|year=2010|pages=213–238|doi=10.1007/978-1-60761-444-9_15|pmid=20013374|chapter=Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis|series=Methods in Molecular Biology|isbn=978-1-60761-443-2}}
55. ^{{cite journal|last1=Deutsch|first1=Eric W.|last2=Mendoza|first2=Luis|last3=Shteynberg|first3=David|last4=Farrah|first4=Terry|last5=Lam|first5=Henry|last6=Tasman|first6=Natalie|last7=Sun|first7=Zhi|last8=Nilsson|first8=Erik|last9=Pratt|first9=Brian|last10=Prazen|first10=Bryan|last11=Eng|first11=Jimmy K.|last12=Martin|first12=Daniel B.|last13=Nesvizhskii|first13=Alexey I.|last14=Aebersold|first14=Ruedi|title=A guided tour of the Trans-Proteomic Pipeline|journal=Proteomics|volume=10|issue=6|year=2010|pages=1150–1159|issn=1615-9853|doi=10.1002/pmic.200900375|pmid=20101611|pmc=3017125}}
56. ^{{cite journal |last1=Monroe |first1=M. E. |last2=Tolić |first2=N. |last3=Jaitly |first3=N. |last4=Shaw |first4=J. L. |last5=Adkins |first5=J. N. |last6=Smith |first6=R. D. |title=VIPER: an advanced software package to support high-throughput LC-MS peptide identification |journal=Bioinformatics |volume=23 |issue=15 |year=2007 |pmid=17545182 |doi=10.1093/bioinformatics/btm281 |pages=2021–3}}

External links