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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/11/2015 |
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Data da última atualização: |
22/05/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HONGO, J. A.; CASTRO, G. M. de; CINTRA, L. C.; ZERLOTINI, A.; LOBO, F. P. |
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Afiliação: |
JORGE A. HONGO; GIOVANNI M. DE CASTRO; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA. |
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Título: |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
BMC Genomics, London, v. 16, n. 1, 567, Aug. 2015. |
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DOI: |
10.1186/s12864-015-1765-0 |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
Comparative genomics; Evolução Darwiniana; Positive selection; Potion. |
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Thesagro: |
Fenótipo; Gene; Pesquisa. |
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Thesaurus Nal: |
Genes; Genome; Genomics; Phylogeny. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/132445/1/POTION.PDF
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Marc: |
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100 1 $aHONGO, J. A.
245 $aPOTION$ban end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.$h[electronic resource]
260 $c2015
520 $aAbstract: 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.
650 $aGenes
650 $aGenome
650 $aGenomics
650 $aPhylogeny
650 $aFenótipo
650 $aGene
650 $aPesquisa
653 $aComparative genomics
653 $aEvolução Darwiniana
653 $aPositive selection
653 $aPotion
700 1 $aCASTRO, G. M. de
700 1 $aCINTRA, L. C.
700 1 $aZERLOTINI, A.
700 1 $aLOBO, F. P.
773 $tBMC Genomics, London$gv. 16, n. 1, 567, Aug. 2015.
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Embrapa Agricultura Digital (CNPTIA) |
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