title: Mining PeptideAtlas for biomarkers and therapeutics in human disease.
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.
authors.affiliation: Institute for Systems Biology, 401 Terry Ave. North, Seattle, WA 98109, USA.
authors.forename: Sarah
authors.initials: S
authors.lastname: Killcoyne
authors.forename: Eric W
authors.initials: EW
authors.lastname: Deutsch
authors.forename: John
authors.initials: J
authors.lastname: Boyle
mesh_terms: D015415:Biomarkers; D057225:Data Mining / Q000379:methods*; D030562:Databases, Protein; D006801:Humans; D013058:Mass Spectrometry; D010455:Peptides / Q000378:metabolism* / Q000627:therapeutic use*; D040901:Proteomics / Q000379:methods; D012984:Software
chemical_list: D015415:Biomarkers; D010455:Peptides