DBParser: Web-Based Software for Shotgun Proteomic Data Analyses
- 18 September 2004
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Proteome Research
- Vol. 3 (5) , 1002-1008
- https://doi.org/10.1021/pr049920x
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. Keywords: proteomics • data analysis • peptides • mass spectrometry • software • bioinformaticsKeywords
This publication has 11 references indexed in Scilit:
- Characterizing complex peptide mixtures using a multi-dimensional liquid chromatography–mass spectrometry system: Saccharomyces cerevisiae as a model systemJournal of Chromatography B, 2004
- The Need for Guidelines in Publication of Peptide and Protein Identification DataMolecular & Cellular Proteomics, 2004
- A Statistical Model for Identifying Proteins by Tandem Mass SpectrometryAnalytical Chemistry, 2003
- The Gene Ontology Annotation (GOA) Project: Implementation of GO in SWISS-PROT, TrEMBL, and InterProGenome Research, 2003
- Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database SearchAnalytical Chemistry, 2002
- Probability-Based Validation of Protein Identifications Using a Modified SEQUEST AlgorithmAnalytical Chemistry, 2002
- CHOMPER: A bioinformatic tool for rapid validation of tandem mass spectrometry search results associated with high-throughput proteomic strategiesProteomics, 2002
- What does it mean to identify a protein in proteomics?Trends in Biochemical Sciences, 2002
- Probability-based protein identification by searching sequence databases using mass spectrometry dataElectrophoresis, 1999
- Rapid identification of proteins by peptide-mass fingerprintingCurrent Biology, 1993