POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 |
Resumo: | 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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POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.PotionEvolução DarwinianaComparative genomicsPositive selectionGeneFenótipoPesquisaGenomicsPhylogenyGenesGenomeAbstract: 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.JORGE A. HONGOGIOVANNI M. DE CASTROLEANDRO CARRIJO CINTRA, CNPTIAADHEMAR ZERLOTINI NETO, CNPTIAFRANCISCO PEREIRA LOBO, CNPTIA.HONGO, J. A.CASTRO, G. M. deCINTRA, L. C.ZERLOTINI, A.LOBO, F. P.2015-11-04T11:11:11Z2015-11-04T11:11:11Z2015-11-0420152016-06-22T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBMC Genomics, London, v. 16, n. 1, 567, Aug. 2015.http://www.alice.cnptia.embrapa.br/alice/handle/doc/102791210.1186/s12864-015-1765-0enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T03:07:44Zoai:www.alice.cnptia.embrapa.br:doc/1027912Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T03:07:44Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
title |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
spellingShingle |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. HONGO, J. A. Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome |
title_short |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
title_full |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
title_fullStr |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
title_full_unstemmed |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
title_sort |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
author |
HONGO, J. A. |
author_facet |
HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. |
author_role |
author |
author2 |
CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
JORGE A. HONGO GIOVANNI M. DE CASTRO LEANDRO CARRIJO CINTRA, CNPTIA ADHEMAR ZERLOTINI NETO, CNPTIA FRANCISCO PEREIRA LOBO, CNPTIA. |
dc.contributor.author.fl_str_mv |
HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. |
dc.subject.por.fl_str_mv |
Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome |
topic |
Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome |
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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11-04T11:11:11Z 2015-11-04T11:11:11Z 2015-11-04 2015 2016-06-22T11:11:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
BMC Genomics, London, v. 16, n. 1, 567, Aug. 2015. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 10.1186/s12864-015-1765-0 |
identifier_str_mv |
BMC Genomics, London, v. 16, n. 1, 567, Aug. 2015. 10.1186/s12864-015-1765-0 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1822721156710400000 |