title: Proteomic resources: integrating biomedical information in humans.
abstract: Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community initiatives to standardize data formats and ontologies. An overview of the web-based resources and databases for analysis of proteomic data is also provided. Integration of disparate proteomic data sources with genomic and transcriptomic data should make systems biology type of approaches feasible in the near future.
authors.affiliation: Institute of Bioinformatics, International Tech Park Ltd., Bangalore 560 066, India.
authors.forename: Shubha
authors.initials: S
authors.lastname: Suresh
authors.forename: S
authors.initials: S
authors.lastname: Sujatha Mohan
authors.forename: Goparani
authors.initials: G
authors.lastname: Mishra
authors.forename: G R
authors.initials: GR
authors.lastname: Hanumanthu
authors.forename: M
authors.initials: M
authors.lastname: Suresh
authors.forename: Raghunath
authors.initials: R
authors.lastname: Reddy
authors.forename: Akhilesh
authors.initials: A
authors.lastname: Pandey
mesh_terms: D000595:Amino Acid Sequence; D035843:Biomedical Research / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins; D020543:Proteome