Bioinformatics approaches in the discovery and understanding of reproduction-related biomarkers. (April 2011)

• Record Type: Journal Article
• Authors: Anagnostopoulos, Athanasios K; Tsiliki, Georgia; Spyrou, George; Tsangaris, George Th
• Is Part Of: Expert review of proteomics. Volume 8:Number 2(2011)
• Page Start: 187
• Page End: 195
• Publication Date: 2011-04
• Subjects: bioinformatics -- chromosomal abnormalities -- database -- pregnancy complications -- proteomics -- reproduction; Proteins -- Biotechnology -- Periodicals; Proteomics -- Periodicals; 572.6
• DOI: 10.1586/epr.11.12
• Languages: English
• ISSNs: 1478-9450

Abstract

The emerging field of bioinformatics in proteomics is introducing new algorithms in order to handle large and heterogeneous datasets and improve the knowledge-discovery process. Management systems, software construction and application, database population and leverage, as well as computed prediction, have crafted bioinformatics into a valuable tool for basic research. Human reproduction is one of many fields proteomics has been extensively studying over the last decade, accumulating complex experimental data at a rate far exceeding the ability to assimilate them. Transformation of the rapidly proliferating quantities of experimental information into a usable form in order to facilitate their analysis is a challenging task. On this track, bioinformatics, an essential part of proteomics research, aspires to amend inquiries into a better manipulated, a better handled and a better understood form so as to enhance existing knowledge expansion.