Título:	POTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets.
Autor:	HONGO, J. CASTRO, G. SILVA, F. CINTRA, L. ZERLOTINI, A. LOBO, F.
Afiliación:	JORGE HONGO, Unicamp; GIOVANNI CASTRO, Estagiário do CNPTIA; FELIPE RODRIGUES DA SILVA, CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA.
Año:	2012
Referencia:	In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012.
Páginas:	Não paginado.
Descripción:	The search for positive selection is also highly parallelizable, since each group of homologous can be analyzed independently. Here we describe POTION (POsitive selecTION), a massively parallel software to automatically detect positive selection on genomic scale data, ideal for analysis of large datasets in cluster infrastructures
NAL Thesaurus:	Bioinformatics Computer software Genomics
Palabras clave:	Bioinformática Genômica
Notas:	X-MEETING 2012.
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPTIA)