In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics
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- 作者：Enrique Audaina ; b ; 1 ; Julian Uszkoreitc ; 1 ; Timo Sachsenbergb ; Julianus Pfeufferf ; Xiao Liangf ; Henning Hermjakobd ; i ; Aniel Sancheze ; Martin Eisenacherc ; Knut Reinertf ; David L. Tabbg ; Oliver Kohlbacherb ; h ; Yasset Perez-Riverold ; yperez@ebi.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Protein inference ; Bioinformatics ; Mass spectrometry ; Algorithms
- 刊名：Journal of Proteomics
- 出版年：2017
- 出版时间：6 January 2017
- 年：2017
- 卷：150
- 期：Complete
- 页码：170-182
- 全文大小：1576 K
文摘
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A new workflow system to benchmark protein inference algorithms in multi-search engines studies.
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Benchmark of five different protein inference algorithms in four different datasets including two ground truth datasets.
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Different metrics has defined to evaluate the quality and accuracy of a protein inference algorithm.
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Benchmark of three different search engines and their combination in Proteomics studies.