Proteomics

Dataset Information

0

Locus-specific Retention Predictor (LsRP)


ABSTRACT: LsRP based on amino acid locus information and Support Vector Regression can be used to predict peptide retention time in LC-MS experiments.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hela Cell

SUBMITTER: Wenyuan Lu  

LAB HEAD: Pengyuan Yang

PROVIDER: PXD005572 | Pride | 2017-04-10

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Code.rar Other
ExampleData.rar Other
LocusVectors.rar Other
hela-1.5ug-120.dat Other
hela-1.5ug-120.wiff Wiff
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Publications

Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics.

Lu Wenyuan W   Liu Xiaohui X   Liu Shanshan S   Cao Weiqian W   Zhang Yang Y   Yang Pengyuan P  

Scientific reports 20170317


The precision prediction of peptide retention time (RT) plays an increasingly important role in liquid chromatography-tandem mass spectrometry (LC-MS/MS) based proteomics. Owing to the high reproducibility of liquid chromatography, RT prediction provides promising information for both identification and quantification experiment design. In this work, we present a Locus-specific Retention Predictor (LsRP) for precise prediction of peptide RT, which is based on amino acid locus information and Sup  ...[more]

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