Abstract
Mass spectrometry information has long offered the potential of discovering biomarkers that would enable clinicians to diagnose disease, and treat it with targeted therapies. PeptideAtlas currently provides access to large-scale spectra data and identification information. This data, and the generation of targeted peptide information, represents the first step in the process of locating disease biomarkers. Reaching the goal of clinical proteomics requires that this data be integrated with additional information from disease literature and genomic studies. Here we describe PeptideAtlas and associated methods for mining the data, as well as the software tools necessary to support large-scale integration and mining.
Keywords: SRM, Mass spectrometry, proteomic, visualization, data mining, PeptideAtlas, Streptococcus pyogenes, Glioblastoma, Integration, Cytoscape
Current Pharmaceutical Design
Title: Mining PeptideAtlas for Biomarkers and Therapeutics in Human Disease
Volume: 18 Issue: 6
Author(s): Sarah Killcoyne, Eric W. Deutsch and John Boyle
Affiliation:
Keywords: SRM, Mass spectrometry, proteomic, visualization, data mining, PeptideAtlas, Streptococcus pyogenes, Glioblastoma, Integration, Cytoscape
Abstract: Mass spectrometry information has long offered the potential of discovering biomarkers that would enable clinicians to diagnose disease, and treat it with targeted therapies. PeptideAtlas currently provides access to large-scale spectra data and identification information. This data, and the generation of targeted peptide information, represents the first step in the process of locating disease biomarkers. Reaching the goal of clinical proteomics requires that this data be integrated with additional information from disease literature and genomic studies. Here we describe PeptideAtlas and associated methods for mining the data, as well as the software tools necessary to support large-scale integration and mining.
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Cite this article as:
Killcoyne Sarah, W. Deutsch Eric and Boyle John, Mining PeptideAtlas for Biomarkers and Therapeutics in Human Disease, Current Pharmaceutical Design 2012; 18 (6) . https://dx.doi.org/10.2174/138161212799277833
DOI https://dx.doi.org/10.2174/138161212799277833 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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