Literature DB >> 16512677

InSilicoSpectro: an open-source proteomics library.

Jacques Colinge1, Alexandre Masselot, Pablo Carbonell, Ron D Appel.   

Abstract

We present a new proteomics open-source project, InSilicoSpectro, aimed at implementing recurrent computations that are necessary for proteomics data analysis. Illustrative examples are mass list file format conversions, protein sequence digestion, theoretical peptide and fragment mass computations, graphical display, matching with experimental data, isoelectric point estimation, and peptide retention time prediction. The project library is written in Perl, a widely used scripting language in bioinformatics, and it offers a unique framework of integrated objects to implement complex proteomics data analyses. For instance, only a few lines of code are required to digest a protein with fixed and variable modifications, label peptides with 18O, compute the fragmentation spectra and display their match with experimental spectra. We believe that InSilicoSpectro will be of great help to bioinformaticians, without detailed knowledge of proteomics specifics, and to mass spectrometrists with computer programming interest as well.

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Substances:

Year:  2006        PMID: 16512677     DOI: 10.1021/pr0504236

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

1.  Precursor ion independent algorithm for top-down shotgun proteomics.

Authors:  Yihsuan S Tsai; Alexander Scherl; Jason L Shaw; C Logan MacKay; Scott A Shaffer; Patrick R R Langridge-Smith; David R Goodlett
Journal:  J Am Soc Mass Spectrom       Date:  2009-08-13       Impact factor: 3.109

2.  Interactive Peptide Spectral Annotator: A Versatile Web-based Tool for Proteomic Applications.

Authors:  Dain R Brademan; Nicholas M Riley; Nicholas W Kwiecien; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2019-05-14       Impact factor: 5.911

3.  compomics-utilities: an open-source Java library for computational proteomics.

Authors:  Harald Barsnes; Marc Vaudel; Niklaas Colaert; Kenny Helsens; Albert Sickmann; Frode S Berven; Lennart Martens
Journal:  BMC Bioinformatics       Date:  2011-03-08       Impact factor: 3.169

4.  mMass as a software tool for the annotation of cyclic peptide tandem mass spectra.

Authors:  Timo H J Niedermeyer; Martin Strohalm
Journal:  PLoS One       Date:  2012-09-13       Impact factor: 3.240

5.  mspire: mass spectrometry proteomics in Ruby.

Authors:  John T Prince; Edward M Marcotte
Journal:  Bioinformatics       Date:  2008-10-16       Impact factor: 6.937

Review 6.  Introduction to computational proteomics.

Authors:  Jacques Colinge; Keiryn L Bennett
Journal:  PLoS Comput Biol       Date:  2007-07       Impact factor: 4.475

7.  A slow-cycling subpopulation of melanoma cells with highly invasive properties.

Authors:  M Perego; M Maurer; J X Wang; S Shaffer; A C Müller; K Parapatics; L Li; D Hristova; S Shin; F Keeney; S Liu; X Xu; A Raj; J K Jensen; K L Bennett; S N Wagner; R Somasundaram; M Herlyn
Journal:  Oncogene       Date:  2017-09-18       Impact factor: 9.867

8.  Automated workflow composition in mass spectrometry-based proteomics.

Authors:  Magnus Palmblad; Anna-Lena Lamprecht; Jon Ison; Veit Schwämmle
Journal:  Bioinformatics       Date:  2019-02-15       Impact factor: 6.937

9.  multiplierz: an extensible API based desktop environment for proteomics data analysis.

Authors:  Jignesh R Parikh; Manor Askenazi; Scott B Ficarro; Tanya Cashorali; James T Webber; Nathaniel C Blank; Yi Zhang; Jarrod A Marto
Journal:  BMC Bioinformatics       Date:  2009-10-29       Impact factor: 3.169

Review 10.  Open source libraries and frameworks for mass spectrometry based proteomics: a developer's perspective.

Authors:  Yasset Perez-Riverol; Rui Wang; Henning Hermjakob; Markus Müller; Vladimir Vesada; Juan Antonio Vizcaíno
Journal:  Biochim Biophys Acta       Date:  2013-03-01
  10 in total

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