POTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets.

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dc.contributorJORGE HONGO, Unicamp; GIOVANNI CASTRO, Estagiário do CNPTIA; FELIPE RODRIGUES DA SILVA, CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA.
dc.creatorHONGO, J.
dc.creatorCASTRO, G.
dc.creatorSILVA, F.
dc.creatorCINTRA, L.
dc.creatorZERLOTINI, A.
dc.creatorLOBO, F.
dc.date2013-01-28T11:11:11Z
dc.date2013-01-28T11:11:11Z
dc.date2013-01-28
dc.date2012
dc.date2020-01-22T11:11:11Z
dc.date.accessioned2026-07-07T04:13:03Z
dc.descriptionThe 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
dc.descriptionX-MEETING 2012.
dc.formatNão paginado.
dc.identifierIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/946632
dc.identifier.urihttp://hdl.handle.net/123456789/454381
dc.languageeng
dc.rightsopenAccess
dc.subjectBioinformática
dc.subjectGenômica
dc.subjectBioinformatics
dc.subjectComputer software
dc.subjectGenomics
dc.titlePOTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets.
dc.typeResumo em anais e proceedings

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