MascotDatfile: An open-source library to fully parse and analyse MASCOT MS/MS search results

被引:41
作者
Helsens, Kenny
Martens, Lennart
Vandekerckhove, Joel
Gevaert, Kris
机构
[1] European Bioinformat Inst, EMBL Outstn, Cambridge, England
[2] Univ Ghent VIB, Dept Biochem & Med Prot Res, Fac Med & Hlth Sci, Ghent, Belgium
关键词
bioinformatics; protein identification;
D O I
10.1002/pmic.200600682
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
MS-based protein identification is an important part of both gel-based and gel-free proteome studies. The MASCOT search engine (http://www.matrixscience.com) provides one of the most popular automated algorithms for this task. Here we present an open-source software library written in Java that parses raw MASCOT results into an easily accessible and fully functional object model (http://genesis.ugent.be/MascotDatfile). Several scripts based on this library are provided as examples, allowing direct automation of important routine tasks involved in processing peptide identifications.
引用
收藏
页码:364 / 366
页数:3
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