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MS-BID: a Java package for label-free LC-MS-based comparative proteomic analysis


Hwang, D; Zhang, N; Lee, H; Yi, E; Zhang, H; Lee, I Y; Hood, L; Aebersold, R (2008). MS-BID: a Java package for label-free LC-MS-based comparative proteomic analysis. Bioinformatics, 24(22):2641-2642.

Abstract

Summary: MS-BID (MS Biomarker Discovery Platform) is an integrative computational pipeline for biomarker discovery using LC-MS-based comparative proteomic analysis. This platform consists of several computational tools for: (i) detecting peptides in the collected patterns; (ii) matching detected peptides across a number of LC-MS datasets and (iii) selecting discriminatory peptides between classes of samples. Availability: MS-BID source codes, binaries and documentations are freely available under LGPL from http://tools.proteomecenter.org/msBID.php. Contact: dhhwang@postech.ac.kr

Abstract

Summary: MS-BID (MS Biomarker Discovery Platform) is an integrative computational pipeline for biomarker discovery using LC-MS-based comparative proteomic analysis. This platform consists of several computational tools for: (i) detecting peptides in the collected patterns; (ii) matching detected peptides across a number of LC-MS datasets and (iii) selecting discriminatory peptides between classes of samples. Availability: MS-BID source codes, binaries and documentations are freely available under LGPL from http://tools.proteomecenter.org/msBID.php. Contact: dhhwang@postech.ac.kr

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Item Type:Journal Article, refereed, original work
Communities & Collections:National licences > 142-005
Dewey Decimal Classification:Unspecified
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Life Sciences > Biochemistry
Life Sciences > Molecular Biology
Physical Sciences > Computer Science Applications
Physical Sciences > Computational Theory and Mathematics
Physical Sciences > Computational Mathematics
Language:English
Date:15 November 2008
Deposited On:19 Nov 2018 16:58
Last Modified:15 Apr 2021 14:51
Publisher:Oxford University Press
ISSN:1367-4803
OA Status:Hybrid
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1093/bioinformatics/btn491
PubMed ID:18805798

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