title: GFSWeb: a web tool for genome-based identification of proteins from mass spectrometric samples.
abstract: The interpretation of mass spectrometry data for protein identification has become a vital component of proteomics research. However, since most existing software tools rely on protein databases, their success is limited, especially as the pace of annotation efforts fails to keep pace with sequencing. We present a publicly available, web-based version of a software tool that maps peptide mass fingerprint data directly to their genomic origin, allowing for genome-based, annotation-independent protein identification.
authors.affiliation: Department of Microbiology & Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7290, USA.
authors.forename: Michael S
authors.initials: MS
authors.lastname: Wisz
authors.forename: Melissa Kimball
authors.initials: MK
authors.lastname: Suarez
authors.forename: Mark R
authors.initials: MR
authors.lastname: Holmes
authors.forename: Morgan C
authors.initials: MC
authors.lastname: Giddings
mesh_terms: D030562:Databases, Protein; D023281:Genomics / Q000379:methods*; D020407:Internet; D013058:Mass Spectrometry; D010446:Peptide Fragments; D011506:Proteins / Q000032:analysis; D040901:Proteomics / Q000379:methods
chemical_list: D010446:Peptide Fragments; D011506:Proteins