title: Open source libraries and frameworks for mass spectrometry based proteomics: a developer's perspective.
abstract: Data processing, management and visualization are central and critical components of a state of the art high-throughput mass spectrometry (MS)-based proteomics experiment, and are often some of the most time-consuming steps, especially for labs without much bioinformatics support. The growing interest in the field of proteomics has triggered an increase in the development of new software libraries, including freely available and open-source software. From database search analysis to post-processing of the identification results, even though the objectives of these libraries and packages can vary significantly, they usually share a number of features. Common use cases include the handling of protein and peptide sequences, the parsing of results from various proteomics search engines output files, and the visualization of MS-related information (including mass spectra and chromatograms). In this review, we provide an overview of the existing software libraries, open-source frameworks and also, we give information on some of the freely available applications which make use of them. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan.
authors: EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK; Department of Proteomics, Center for Genetic Engineering and Biotechnology, Ciudad de la Habana, Cuba.
authors: Yasset
authors: Y
authors: Perez-Riverol
authors: Rui
authors: R
authors: Wang
authors: Henning
authors: H
authors: Hermjakob
authors: Markus
authors: M
authors: Müller
authors: Vladimir
authors: V
authors: Vesada
authors: Juan Antonio
authors: JA
authors: Vizcaíno
mesh_terms: D019295:Computational Biology; D040901:Proteomics; D012984:Software; D053719:Tandem Mass Spectrometry / Q000379:methods*
keywords: (HUPO)-PSI; (Human Proteome Organization) — Proteomics Standards Initiative; AMT; ATAQS; Accurate Mass Tag; Application programming interface; Automated and Targeted Analysis with Quantitative SRM; Bioinformatics; CV; Controlled Vocabulary; DAO; Data Access Object; Databases; EBI; European Bioinformatics Institute; FDR; False Discovery Rate; GUI; Graphical User Interface; ICAT; ICPL; IPTL; ISB; Institute for Systems Biology; Isobaric Peptide Termini Labeling; Isobaric Tag for Relative and Absolute Quantitation; Isotope-Coded Affinity Tags; Isotope-Coded Protein Label; JPL; Java Proteomic Library; LC-MS; LIMS; Laboratory Information Management System; Liquid Chromatography–Mass Spectrometry; MGF; MIAPE; MS; Mascot Generic Format; Mass Spectrometry; Minimum Information About a Proteomics Experiment; Open source software; PASSEL; PRIDE; PRoteomics IDEntifications (database); PSM; PTM; Peptide Spectrum Match; PeptideAtlas SRM Experiment Library; Post-Translational Modifications; Proteomics; RT; Retention Time; SILAC; SRM; Selected Reaction Monitoring; Software libraries; Stable Isotope Labeling by Amino acids in Cell culture; TMT; TOPP; TPP; Tandem Mass Tag; The OpenMS Proteomics Pipeline; Trans-Proteomic Pipeline; emPAI; exponentially modified Protein Abundance Index; iTRAQ