POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.
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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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2015-11-04
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Subjects: | Potion, Evolução Darwiniana, Comparative genomics, Positive selection, Gene, Fenótipo, Pesquisa, Genomics, Phylogeny, Genes, Genome, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 |
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dig-alice-doc-10279122017-08-16T03:07:44Z 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. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. JORGE A. HONGO, Bolsista CNPTIA; GIOVANNI M. DE CASTRO, Bolsista CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA. Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome 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. 2015-11-04T11:11:11Z 2015-11-04T11:11:11Z 2015-11-04 2015 2016-06-22T11:11:11Z Artigo de periódico BMC Genomics, London, v. 16, p. 1-16, Aug. 2015. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 10.1186/s12864-015-1765-0 en eng openAccess |
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Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome |
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Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
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. |
author2 |
JORGE A. HONGO, Bolsista CNPTIA; GIOVANNI M. DE CASTRO, Bolsista CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA. |
author_facet |
JORGE A. HONGO, Bolsista CNPTIA; GIOVANNI M. DE CASTRO, Bolsista CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA. HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. |
format |
Artigo de periódico |
topic_facet |
Potion Evolução Darwiniana Comparative genomics Positive selection Gene Fenótipo Pesquisa Genomics Phylogeny Genes Genome |
author |
HONGO, J. A. CASTRO, G. M. de CINTRA, L. C. ZERLOTINI, A. LOBO, F. P. |
author_sort |
HONGO, J. A. |
title |
POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. |
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. |
publishDate |
2015-11-04 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027912 |
work_keys_str_mv |
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