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Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomic Data.
Bolser, Dan M; Staines, Daniel M; Perry, Emily; Kersey, Paul J.
Affiliation
  • Bolser DM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. dbolser@ebi.ac.uk.
  • Staines DM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
  • Perry E; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
  • Kersey PJ; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Methods Mol Biol ; 1533: 1-31, 2017.
Article in En | MEDLINE | ID: mdl-27987162
ABSTRACT
Ensembl Plants ( http//plants.ensembl.org ) is an integrative resource presenting genome-scale information for 39 sequenced plant species. Available data includes genome sequence, gene models, functional annotation, and polymorphic loci; for the latter, additional information including population structure, individual genotypes, linkage, and phenotype data is available for some species. Comparative data is also available, including genomic alignments and "gene trees," which show the inferred evolutionary history of each gene family represented in the resource. Access to the data is provided through a genome browser, which incorporates many specialist interfaces for different data types, through a variety of programmatic interfaces, and via a specialist data mining tool supporting rapid filtering and retrieval of bulk data. Genomic data from many non-plant species, including those of plant pathogens, pests, and pollinators, is also available via the same interfaces through other divisions of Ensembl.Ensembl Plants is updated 4-6 times a year and is developed in collaboration with our international partners in the Gramene ( http//www.gramene.org ) and transPLANT projects ( http//www.transplantdb.eu ).
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Collection: 01-internacional Database: MEDLINE Main subject: Plants / Software / Genome, Plant / Computational Biology / Genomics Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: Reino Unido
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Plants / Software / Genome, Plant / Computational Biology / Genomics Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: Reino Unido