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http://www.alice.cnptia.embrapa.br/alice/handle/doc/946632
Title: | POTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets. |
Authors: | HONGO, J. CASTRO, G. SILVA, F. CINTRA, L. ZERLOTINI, A. LOBO, F. |
Affiliation: | 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. |
Date Issued: | 2012 |
Citation: | In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. |
Pages: | Não paginado. |
Description: | 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 |
Keywords: | Bioinformática Genômica |
Notes: | X-MEETING 2012. |
Type of Material: | Resumo em anais e proceedings |
Access: | openAccess |
Appears in Collections: | Resumo em anais de congresso (CNPTIA) |
Files in This Item:
File | Description | Size | Format | |
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potion.pdf | 1,12 MB | Adobe PDF | View/Open |