Gathering Computational Genomics and Proteomics to Unravel Adaptive Evolution

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Agostinho Antunes (Author) REIT; Maria Joao Ramos (Author) FCUP

Journal

Title: Evolutionary Bioinformatics

Vol. 3

Pages: 207-209

ISSN: 1176-9343

Publisher: Libertas Academica

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 5 Citations

Scientific classification

FOS: Natural sciences > Mathematics

Other information

Authenticus ID: P-004-D4H

Abstract (EN): A recent editorial in PLoS Biology by MacCallum and Hill (2006) pointed out the inappropriateness of studies evaluating signatures of positive selection based solely in single-site analyses. Therefore the rising number of articles claiming positive selection that have been recently published urges the question of how to improve the bioinformatics standards for reliably unravel positive selection? Deeper integrative efforts using state-of-the-art methodologies at the gene-level and protein-level are improving positive selection studies. Here we provide some computational guidelines to thoroughly document molecular adaptation.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 3