| Literature DB >> 15473689 |
Xiaoyu Yang1, Vijay Dondeti, Rebecca Dezube, Dawn M Maynard, Lewis Y Geer, Jonathan Epstein, Xiongfong Chen, Sanford P Markey, Jeffrey A Kowalak.
Abstract
We describe a web-based program called 'DBParser' for rapidly culling, merging, and comparing sequence search engine results from multiple LC-MS/MS peptide analyses. DBParser employs the principle of parsimony to consolidate redundant protein assignments and derive the most concise set of proteins consistent with all of the assigned peptide sequences observed in an experiment or series of experiments. The resulting reports summarize peptide and protein identifications from multidimensional experiments that may contain a single data set or combine data from a group of data sets, all related to a single analytical sample. Additionally, the results of multiple experiments, each of which may contain several data sets, can be compared in reports that identify features that are common or different. DBParser actively links to the primary mass spectral data and to public online databases such as NCBI, GO, and Swiss-Prot in order to structure contextually specific reports for biologists and biochemists.Mesh:
Substances:
Year: 2004 PMID: 15473689 DOI: 10.1021/pr049920x
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466