Literature DB >> 21082437

Proteomics databases and repositories.

Lennart Martens1.   

Abstract

With the advent of more powerful and sensitive analytical techniques and instruments, the field of mass spectrometry based proteomics has seen a considerable increase in the amount of generated data. Correspondingly, the need to make these data publicly available in centralized online databases has also become more pressing. As a result, several such databases have been created, and steps are currently being taken to integrate these different systems under a single worldwide data-sharing umbrella. This chapter will discuss the importance of such databases and the necessary infrastructure that these databases require for efficient operation. Furthermore, the various kinds of information that proteomics databases can store will be described, along with the different types of databases that are available today. Finally, a selection of prominent repositories will be described in more detail, together with the international ProteomExchange consortium that is aimed at uniting all the different databases in a global data sharing collaboration.

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Year:  2011        PMID: 21082437     DOI: 10.1007/978-1-60761-977-2_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Making proteomics data accessible and reusable: current state of proteomics databases and repositories.

Authors:  Yasset Perez-Riverol; Emanuele Alpi; Rui Wang; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Proteomics       Date:  2015-03       Impact factor: 3.984

Review 2.  Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.

Authors:  Claudia Manzoni; Demis A Kia; Jana Vandrovcova; John Hardy; Nicholas W Wood; Patrick A Lewis; Raffaele Ferrari
Journal:  Brief Bioinform       Date:  2018-03-01       Impact factor: 11.622

3.  CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays.

Authors:  Paola Masuzzo; Niels Hulstaert; Lynn Huyck; Christophe Ampe; Marleen Van Troys; Lennart Martens
Journal:  Bioinformatics       Date:  2013-08-05       Impact factor: 6.937

  3 in total

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