MOPED: Model Organism Protein Expression Database
Open Access
- 1 December 2011
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 40 (D1) , D1093-D1099
- https://doi.org/10.1093/nar/gkr1177
Abstract
Large numbers of mass spectrometry proteomics studies are being conducted to understand all types of biological processes. The size and complexity of proteomics data hinders efforts to easily share, integrate, query and compare the studies. The Model Organism Protein Expression Database (MOPED, htttp://moped.proteinspire.org) is a new and expanding proteomics resource that enables rapid browsing of protein expression information from publicly available studies on humans and model organisms. MOPED is designed to simplify the comparison and sharing of proteomics data for the greater research community. MOPED uniquely provides protein level expression data, meta-analysis capabilities and quantitative data from standardized analysis. Data can be queried for specific proteins, browsed based on organism, tissue, localization and condition and sorted by false discovery rate and expression. MOPED empowers users to visualize their own expression data and compare it with existing studies. Further, MOPED links to various protein and pathway databases, including GeneCards, Entrez, UniProt, KEGG and Reactome. The current version of MOPED contains over 43 000 proteins with at least one spectral match and more than 11 million high certainty spectra.Keywords
This publication has 43 references indexed in Scilit:
- Cytoscape 2.8: new features for data integration and network visualizationBioinformatics, 2010
- Meta-analysis for Protein Identification: A Case Study on Yeast DataOMICS: A Journal of Integrative Biology, 2010
- ProteomeCommons.org Collaborative Annotation and Project Management Resource Integrated With the Tranche RepositoryJournal of Proteome Research, 2010
- A guide to the Proteomics Identifications Database proteomics data repositoryProteomics, 2009
- PeptideAtlas: a resource for target selection for emerging targeted proteomics workflowsEMBO Reports, 2008
- Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometryNature Methods, 2007
- Open Source System for Analyzing, Validating, and Storing Protein Identification DataJournal of Proteome Research, 2004
- Mass spectrometry-based proteomicsNature, 2003
- Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database SearchAnalytical Chemistry, 2002
- An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein databaseJournal of the American Society for Mass Spectrometry, 1994