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1.
Nucleic Acids Res ; 50(D1): D996-D1003, 2022 01 07.
Artículo en Inglés | MEDLINE | ID: mdl-34791415

RESUMEN

Ensembl Genomes (https://www.ensemblgenomes.org) provides access to non-vertebrate genomes and analysis complementing vertebrate resources developed by the Ensembl project (https://www.ensembl.org). The two resources collectively present genome annotation through a consistent set of interfaces spanning the tree of life presenting genome sequence, annotation, variation, transcriptomic data and comparative analysis. Here, we present our largest increase in plant, metazoan and fungal genomes since the project's inception creating one of the world's most comprehensive genomic resources and describe our efforts to reduce genome redundancy in our Bacteria portal. We detail our new efforts in gene annotation, our emerging support for pangenome analysis, our efforts to accelerate data dissemination through the Ensembl Rapid Release resource and our new AlphaFold visualization. Finally, we present details of our future plans including updates on our integration with Ensembl, and how we plan to improve our support for the microbial research community. Software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license). Data updates are synchronised with Ensembl's release cycle.


Asunto(s)
Bases de Datos Genéticas , Genómica , Internet , Programas Informáticos , Animales , Biología Computacional , Genoma Bacteriano/genética , Genoma Fúngico/genética , Genoma de Planta/genética , Plantas/clasificación , Plantas/genética , Vertebrados/clasificación , Vertebrados/genética
2.
Nucleic Acids Res ; 48(D1): D689-D695, 2020 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-31598706

RESUMEN

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of interfaces to genomic data across the tree of life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform and programmatic interfaces, with updates made four times per year (in synchrony with Ensembl). Here, we provide an overview of Ensembl Genomes, with a focus on recent developments. These include the continued growth, more robust and reproducible sets of orthologues and paralogues, and enriched views of gene expression and gene function in plants. Finally, we report on our continued deeper integration with the Ensembl project, which forms a key part of our future strategy for dealing with the increasing quantity of available genome-scale data across the tree of life.


Asunto(s)
Biología Computacional/métodos , Bases de Datos Genéticas , Variación Genética , Genoma Bacteriano , Genoma Fúngico , Genoma de Planta , Algoritmos , Animales , Caenorhabditis elegans/genética , Genómica , Internet , Anotación de Secuencia Molecular , Fenotipo , Plantas/genética , Valores de Referencia , Programas Informáticos , Interfaz Usuario-Computador
3.
Nucleic Acids Res ; 47(D1): D84-D88, 2019 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-30395270

RESUMEN

The European Nucleotide Archive (ENA; https://www.ebi.ac.uk/ena), provided from EMBL-EBI, has for more than three decades been responsible for archiving the world's public sequencing data and presenting this important resource to the scientific community to support and accelerate the global research effort. Here, we outline ENA services and content in 2018 and provide an overview of a selection of focus areas of development work: extending data coordination services around ENA, sequence submissions through template expansion, early pre-submission validation tools and our move towards a new browser and retrieval infrastructure.


Asunto(s)
Biología Computacional/métodos , Bases de Datos de Ácidos Nucleicos , Genómica/métodos , Europa (Continente) , Genoma , Humanos , Anotación de Secuencia Molecular , Motor de Búsqueda , Programas Informáticos , Transcriptoma , Interfaz Usuario-Computador , Navegador Web
4.
Nucleic Acids Res ; 45(D1): D32-D36, 2017 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-27899630

RESUMEN

The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) offers a rich platform for data sharing, publishing and archiving and a globally comprehensive data set for onward use by the scientific community. With a broad scope spanning raw sequencing reads, genome assemblies and functional annotation, the resource provides extensive data submission, search and download facilities across web and programmatic interfaces. Here, we outline ENA content and major access modalities, highlight major developments in 2016 and outline a number of examples of data reuse from ENA.


Asunto(s)
Bases de Datos de Ácidos Nucleicos , Análisis de Secuencia de ADN , Análisis de Secuencia de ARN , Genómica , Internet , Anotación de Secuencia Molecular
5.
Methods Mol Biol ; 2443: 27-55, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35037199

RESUMEN

Ensembl Plants ( http://plants.ensembl.org ) offers genome-scale information for plants, with four releases per year. As of release 47 (April 2020) it features 79 species and includes genome sequence, gene models, and functional annotation. Comparative analyses help reconstruct the evolutionary history of gene families, genomes, and components of polyploid genomes. Some species have gene expression baseline reports or variation across genotypes. While the data can be accessed through the Ensembl genome browser, here we review specifically how our plant genomes can be interrogated programmatically and the data downloaded in bulk. These access routes are generally consistent across Ensembl for other non-plant species, including plant pathogens, pests, and pollinators.


Asunto(s)
Bases de Datos Genéticas , Genómica , Genoma de Planta , Anotación de Secuencia Molecular , Plantas/genética , Programas Informáticos
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