Literature DB >> 21604136

A case study on the comparison of different software tools for automated quantification of peptides.

Niklaas Colaert1, Joël Vandekerckhove, Lennart Martens, Kris Gevaert.   

Abstract

MS-driven proteomics has evolved over the past two decades to a high tech and high impact research field. Two distinct factors clearly influenced its expansion: the rapid growth of an arsenal of instrument and proteomic techniques that led to an explosion of high quality data and the development of software tools to analyze and interpret these data which boosted the number of scientific discoveries. In analogy with the benchmarking of new instruments and proteomic techniques, such software tools must be thoroughly tested and analyzed. Recently, new tools were developed for automatic peptide quantification in quantitative proteomic experiments. Here we present a case study where the most recent and frequently used tools are analyzed and compared.

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Year:  2011        PMID: 21604136     DOI: 10.1007/978-1-61779-148-2_25

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

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Authors:  John R Yates; Sung Kyu Robin Park; Claire M Delahunty; Tao Xu; Jeffrey N Savas; Daniel Cociorva; Paulo Costa Carvalho
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Review 2.  Quantitation of endogenous peptides using mass spectrometry based methods.

Authors:  Elena V Romanova; Sarah E Dowd; Jonathan V Sweedler
Journal:  Curr Opin Chem Biol       Date:  2013-06-18       Impact factor: 8.822

Review 3.  Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

Authors:  Salvatore Cappadona; Peter R Baker; Pedro R Cutillas; Albert J R Heck; Bas van Breukelen
Journal:  Amino Acids       Date:  2012-07-22       Impact factor: 3.520

4.  Single-residue posttranslational modification sites at the N-terminus, C-terminus or in-between: To be or not to be exposed for enzyme access.

Authors:  Fernanda L Sirota; Sebastian Maurer-Stroh; Birgit Eisenhaber; Frank Eisenhaber
Journal:  Proteomics       Date:  2015-07       Impact factor: 3.984

5.  Analysis of the Cerebrospinal Fluid Proteome in Alzheimer's Disease.

Authors:  Payam Emami Khoonsari; Anna Häggmark; Maria Lönnberg; Maria Mikus; Lena Kilander; Lars Lannfelt; Jonas Bergquist; Martin Ingelsson; Peter Nilsson; Kim Kultima; Ganna Shevchenko
Journal:  PLoS One       Date:  2016-03-07       Impact factor: 3.240

  5 in total

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