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Peptide Sequence Confidence in Accurate Mass and Time Analysis and Its Use in Complex Proteomics Experiments
Author(s) -
Damon May,
Yan Liu,
Wendy Law,
Matt Fitzgibbon,
Hong Wang,
Samir Hanash,
Martin McIntosh
Publication year - 2008
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/pr8004502
Subject(s) - proteomics , workflow , mass spectrometry , computer science , bottom up proteomics , software , isobaric labeling , instrumentation (computer programming) , shotgun proteomics , quantitative proteomics , sequence (biology) , data mining , computational biology , chromatography , chemistry , tandem mass spectrometry , protein mass spectrometry , database , biology , programming language , biochemistry , gene
We present new algorithms and a software implementation for assigning confidence to peptide sequence assignments obtained through classic accurate mass and retention time (AMT) matching techniques, as well as methods for integrating these assignments with standard proteomics workflows. The algorithms are intended to increase the number of peptides and proteins identified (and, when applicable, quantitated by isotopic labeling) among related proteomics experiments that use high-resolution mass spectrometry instrumentation. The motivations for our extensions include the need to exploit high-resolution data to support highly complex proteomics experiments, especially those involving extensive off-line fractionation, to which recent label-free workflows might not easily generalize.

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