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Ensembl comparative genomics resources

Evolution provides the unifying framework with which to understand biology. The coherent investigation of genic and genomic data often requires comparative genomics analyses based on whole-genome alignments, sets of homologous genes and other relevant datasets in order to evaluate and answer evoluti...

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Autores principales: Herrero, Javier, Muffato, Matthieu, Beal, Kathryn, Fitzgerald, Stephen, Gordon, Leo, Pignatelli, Miguel, Vilella, Albert J., Searle, Stephen M. J., Amode, Ridwan, Brent, Simon, Spooner, William, Kulesha, Eugene, Yates, Andrew, Flicek, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/
https://www.ncbi.nlm.nih.gov/pubmed/26896847
http://dx.doi.org/10.1093/database/bav096
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author Herrero, Javier
Muffato, Matthieu
Beal, Kathryn
Fitzgerald, Stephen
Gordon, Leo
Pignatelli, Miguel
Vilella, Albert J.
Searle, Stephen M. J.
Amode, Ridwan
Brent, Simon
Spooner, William
Kulesha, Eugene
Yates, Andrew
Flicek, Paul
author_facet Herrero, Javier
Muffato, Matthieu
Beal, Kathryn
Fitzgerald, Stephen
Gordon, Leo
Pignatelli, Miguel
Vilella, Albert J.
Searle, Stephen M. J.
Amode, Ridwan
Brent, Simon
Spooner, William
Kulesha, Eugene
Yates, Andrew
Flicek, Paul
author_sort Herrero, Javier
collection PubMed
description Evolution provides the unifying framework with which to understand biology. The coherent investigation of genic and genomic data often requires comparative genomics analyses based on whole-genome alignments, sets of homologous genes and other relevant datasets in order to evaluate and answer evolutionary-related questions. However, the complexity and computational requirements of producing such data are substantial: this has led to only a small number of reference resources that are used for most comparative analyses. The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available. Database URL: http://www.ensembl.org.
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spelling pubmed-47611102016-02-22 Ensembl comparative genomics resources Herrero, Javier Muffato, Matthieu Beal, Kathryn Fitzgerald, Stephen Gordon, Leo Pignatelli, Miguel Vilella, Albert J. Searle, Stephen M. J. Amode, Ridwan Brent, Simon Spooner, William Kulesha, Eugene Yates, Andrew Flicek, Paul Database (Oxford) Database Update Evolution provides the unifying framework with which to understand biology. The coherent investigation of genic and genomic data often requires comparative genomics analyses based on whole-genome alignments, sets of homologous genes and other relevant datasets in order to evaluate and answer evolutionary-related questions. However, the complexity and computational requirements of producing such data are substantial: this has led to only a small number of reference resources that are used for most comparative analyses. The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available. Database URL: http://www.ensembl.org. Oxford University Press 2016-02-20 /pmc/articles/PMC4761110/ /pubmed/26896847 http://dx.doi.org/10.1093/database/bav096 Text en © The Author(s) 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Update
Herrero, Javier
Muffato, Matthieu
Beal, Kathryn
Fitzgerald, Stephen
Gordon, Leo
Pignatelli, Miguel
Vilella, Albert J.
Searle, Stephen M. J.
Amode, Ridwan
Brent, Simon
Spooner, William
Kulesha, Eugene
Yates, Andrew
Flicek, Paul
Ensembl comparative genomics resources
title Ensembl comparative genomics resources
title_full Ensembl comparative genomics resources
title_fullStr Ensembl comparative genomics resources
title_full_unstemmed Ensembl comparative genomics resources
title_short Ensembl comparative genomics resources
title_sort ensembl comparative genomics resources
topic Database Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/
https://www.ncbi.nlm.nih.gov/pubmed/26896847
http://dx.doi.org/10.1093/database/bav096
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