000 | 01759 am a22002893u 4500 | ||
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042 | _adc | ||
100 | 1 | 0 |
_aContreras-Moreira, Bruno _eauthor |
700 | 1 | 0 |
_aNaamati, Guy _eauthor |
700 | 1 | 0 |
_aRosello, Marc _eauthor _92996 |
700 | 1 | 0 |
_aAllen, James E. _eauthor |
700 | 1 | 0 |
_aHunt, Sarah E. _eauthor _92998 |
700 | 1 | 0 |
_aMuffato, Matthieu _eauthor _92999 |
700 | 1 | 0 |
_aGall, Astrid _eauthor _93000 |
700 | 1 | 0 |
_aFlicek, Paul _eauthor |
245 | 0 | 0 | _aScripting Analyses of Genomes in Ensembl Plants |
260 | _c2022-01-01. | ||
500 | _a/pmc/articles/PMC7614177/ | ||
500 | _a/pubmed/35037199 | ||
520 | _aEnsembl 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. | ||
540 | _a | ||
540 | _ahttps://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. | ||
546 | _aen | ||
690 | _aArticle | ||
655 | 7 |
_aText _2local |
|
786 | 0 | _nMethods Mol Biol | |
856 | 4 | 1 |
_uhttp://dx.doi.org/10.1007/978-1-0716-2067-0_2 _zConnect to this object online. |
999 |
_c2396 _d2396 |