Title:	POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.
Authors:	HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P.
Affiliation:	JORGE A. HONGO GIOVANNI M. DE CASTRO LEANDRO CARRIJO CINTRA, CNPTIA ADHEMAR ZERLOTINI NETO, CNPTIA FRANCISCO PEREIRA LOBO, CNPTIA.
Date Issued:	2015
Citation:	BMC Genomics, London, v. 16, n. 1, 567, Aug. 2015.
Description:	Abstract: Background: Detection of genes evolving under positive Darwinian evolution in genome-scale data is nowadays a prevailing strategy in comparative genomics studies to identify genes potentially involved in adaptation processes. Despite the large number of studies aiming to detect and contextualize such gene sets, there is virtually no software available to perform this task in a general, automatic, large-scale and reliable manner. This certainly occurs due to the computational challenges involved in this task, such as the appropriate modeling of data under analysis, the computation time to perform several of the required steps when dealing with genome-scale data and the highly error-prone nature of the sequence and alignment data structures needed for genome-wide positive selection detection.
Thesagro:	Gene Fenótipo Pesquisa
NAL Thesaurus:	Genomics Phylogeny Genes Genome
Keywords:	Potion Evolução Darwiniana Comparative genomics Positive selection
DOI:	10.1186/s12864-015-1765-0
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPTIA)