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Ensembl 2022.


ABSTRACT: Ensembl (https://www.ensembl.org) is unique in its flexible infrastructure for access to genomic data and annotation. It has been designed to efficiently deliver annotation at scale for all eukaryotic life, and it also provides deep comprehensive annotation for key species. Genomes representing a greater diversity of species are increasingly being sequenced. In response, we have focussed our recent efforts on expediting the annotation of new assemblies. Here, we report the release of the greatest annual number of newly annotated genomes in the history of Ensembl via our dedicated Ensembl Rapid Release platform (http://rapid.ensembl.org). We have also developed a new method to generate comparative analyses at scale for these assemblies and, for the first time, we have annotated non-vertebrate eukaryotes. Meanwhile, we continually improve, extend and update the annotation for our high-value reference vertebrate genomes and report the details here. We have a range of specific software tools for specific tasks, such as the Ensembl Variant Effect Predictor (VEP) and the newly developed interface for the Variant Recoder. All Ensembl data, software and tools are freely available for download and are accessible programmatically.

SUBMITTER: Cunningham F 

PROVIDER: S-EPMC8728283 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Ensembl 2022.

Cunningham Fiona F   Allen James E JE   Allen Jamie J   Alvarez-Jarreta Jorge J   Amode M Ridwan MR   Armean Irina M IM   Austine-Orimoloye Olanrewaju O   Azov Andrey G AG   Barnes If I   Bennett Ruth R   Berry Andrew A   Bhai Jyothish J   Bignell Alexandra A   Billis Konstantinos K   Boddu Sanjay S   Brooks Lucy L   Charkhchi Mehrnaz M   Cummins Carla C   Da Rin Fioretto Luca L   Davidson Claire C   Dodiya Kamalkumar K   Donaldson Sarah S   El Houdaigui Bilal B   El Naboulsi Tamara T   Fatima Reham R   Giron Carlos Garcia CG   Genez Thiago T   Martinez Jose Gonzalez JG   Guijarro-Clarke Cristina C   Gymer Arthur A   Hardy Matthew M   Hollis Zoe Z   Hourlier Thibaut T   Hunt Toby T   Juettemann Thomas T   Kaikala Vinay V   Kay Mike M   Lavidas Ilias I   Le Tuan T   Lemos Diana D   Marugán José Carlos JC   Mohanan Shamika S   Mushtaq Aleena A   Naven Marc M   Ogeh Denye N DN   Parker Anne A   Parton Andrew A   Perry Malcolm M   Piližota Ivana I   Prosovetskaia Irina I   Sakthivel Manoj Pandian MP   Salam Ahamed Imran Abdul AIA   Schmitt Bianca M BM   Schuilenburg Helen H   Sheppard Dan D   Pérez-Silva José G JG   Stark William W   Steed Emily E   Sutinen Kyösti K   Sukumaran Ranjit R   Sumathipala Dulika D   Suner Marie-Marthe MM   Szpak Michal M   Thormann Anja A   Tricomi Francesca Floriana FF   Urbina-Gómez David D   Veidenberg Andres A   Walsh Thomas A TA   Walts Brandon B   Willhoft Natalie N   Winterbottom Andrea A   Wass Elizabeth E   Chakiachvili Marc M   Flint Bethany B   Frankish Adam A   Giorgetti Stefano S   Haggerty Leanne L   Hunt Sarah E SE   IIsley Garth R GR   Loveland Jane E JE   Martin Fergal J FJ   Moore Benjamin B   Mudge Jonathan M JM   Muffato Matthieu M   Perry Emily E   Ruffier Magali M   Tate John J   Thybert David D   Trevanion Stephen J SJ   Dyer Sarah S   Harrison Peter W PW   Howe Kevin L KL   Yates Andrew D AD   Zerbino Daniel R DR   Flicek Paul P  

Nucleic acids research 20220101 D1


Ensembl (https://www.ensembl.org) is unique in its flexible infrastructure for access to genomic data and annotation. It has been designed to efficiently deliver annotation at scale for all eukaryotic life, and it also provides deep comprehensive annotation for key species. Genomes representing a greater diversity of species are increasingly being sequenced. In response, we have focussed our recent efforts on expediting the annotation of new assemblies. Here, we report the release of the greates  ...[more]

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