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Briefings in Bioinformatics Advance Access originally published online on February 29, 2008
Briefings in Bioinformatics 2008 9(2):97-101; doi:10.1093/bib/bbn011
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© The Author 2008. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Computational proteomics: management and analysis of proteomics data

The first 150 words of the full text of this article appear below.

Proteomics is about the study of the proteins expressed in a cell, organism, or tissue. This includes protein identification and quantification (or quantitation), protein–protein interactions, protein complexes prediction, protein modifications and protein localization in the cell. Mass Spectrometry (MS) is one of the main technologies in proteomics and is more and more used for its increasing precision and for the possibility to automate the proteomics analysis pipeline, yielding to large-scale high-throughput experiments. Since proteins play a central role in the life of an organism, proteomics is instrumental in many biomedical applications, such as biomarker discovery and drug treatment evaluation, as well as for investigating the dynamics of cells in Systems Biology.

Computational Proteomics is about the computational methods, algorithms, databases and methodologies used to process, manage, analyze and interpret the data produced in proteomics experiments. The broad application of proteomics in different biological and medical fields, as well as the . . . [Full Text of this Article]

Mario Cannataro
Bioinformatics Laboratory
Department of Experimental Medicine and Clinic
University Magna Græcia of Catanzaro
Viale Europa (Località Germaneto)
88100 Catanzaro
Italy


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