title: Proteomic Data Storage and Sharing.
abstract: With the advent of high-throughput genomic and proteomic techniques, there is a massive amount of multidimensional data being generated and has increased several orders of magnitude. But the amount of data that is cataloged in the central repositories and shared publicly with the scientific community does not correlate the same rate at which the data is generated. Here, in this chapter, we discuss various proteomics data repositories that are freely accessible to the researchers for further downstream meta-analysis.
authors.affiliation: Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia. S.Keerthikumar@latrobe.edu.au.
authors.forename: Shivakumar
authors.initials: S
authors.lastname: Keerthikumar
authors.affiliation: Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia.
authors.forename: Suresh
authors.initials: S
authors.lastname: Mathivanan
mesh_terms: D000818:Animals; D030562:Databases, Protein; D006801:Humans; D033181:Information Dissemination; D016247:Information Storage and Retrieval; D013058:Mass Spectrometry / Q000379:methods; D009369:Neoplasms / Q000378:metabolism; D010455:Peptides; D011506:Proteins; D020543:Proteome; D040901:Proteomics / Q000379:methods; D064878:Web Browser
chemical_list: D010455:Peptides; D011506:Proteins; D020543:Proteome
keywords: Cancer; Databases; False discovery rate; Mass spectrometry; Peptides; Proteins