Unknown

Dataset Information

0

Ensembl 2023.


ABSTRACT: Ensembl (https://www.ensembl.org) has produced high-quality genomic resources for vertebrates and model organisms for more than twenty years. During that time, our resources, services and tools have continually evolved in line with both the publicly available genome data and the downstream research and applications that utilise the Ensembl platform. In recent years we have witnessed a dramatic shift in the genomic landscape. There has been a large increase in the number of high-quality reference genomes through global biodiversity initiatives. In parallel, there have been major advances towards pangenome representations of higher species, where many alternative genome assemblies representing different breeds, cultivars, strains and haplotypes are now available. In order to support these efforts and accelerate downstream research, it is our goal at Ensembl to create high-quality annotations, tools and services for species across the tree of life. Here, we report our resources for popular reference genomes, the dramatic growth of our annotations (including haplotypes from the first human pangenome graphs), updates to the Ensembl Variant Effect Predictor (VEP), interactive protein structure predictions from AlphaFold DB, and the beta release of our new website.

SUBMITTER: Martin FJ 

PROVIDER: S-EPMC9825606 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Ensembl 2023.

Martin Fergal J FJ   Amode M Ridwan MR   Aneja Alisha A   Austine-Orimoloye Olanrewaju O   Azov Andrey G AG   Barnes If I   Becker Arne A   Bennett Ruth R   Berry Andrew A   Bhai Jyothish J   Bhurji Simarpreet Kaur SK   Bignell Alexandra A   Boddu Sanjay S   Branco Lins Paulo R PR   Brooks Lucy L   Ramaraju Shashank Budhanuru SB   Charkhchi Mehrnaz M   Cockburn Alexander A   Da Rin Fiorretto 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   Ghattaoraya Gurpreet S GS   Martinez Jose Gonzalez JG   Guijarro Cristi C   Hardy Matthew M   Hollis Zoe Z   Hourlier Thibaut T   Hunt Toby T   Kay Mike M   Kaykala Vinay V   Le Tuan T   Lemos Diana D   Marques-Coelho Diego D   Marugán José Carlos JC   Merino Gabriela Alejandra GA   Mirabueno Louisse Paola LP   Mushtaq Aleena A   Hossain Syed Nakib SN   Ogeh Denye N DN   Sakthivel Manoj Pandian MP   Parker Anne A   Perry Malcolm M   Piližota Ivana I   Prosovetskaia Irina I   Pérez-Silva José G JG   Salam Ahamed Imran Abdul AIA   Saraiva-Agostinho Nuno N   Schuilenburg Helen H   Sheppard Dan D   Sinha Swati S   Sipos Botond B   Stark William W   Steed Emily E   Sukumaran Ranjit R   Sumathipala Dulika D   Suner Marie-Marthe MM   Surapaneni Likhitha L   Sutinen Kyösti K   Szpak Michal M   Tricomi Francesca Floriana FF   Urbina-Gómez David D   Veidenberg Andres A   Walsh Thomas A TA   Walts Brandon B   Wass Elizabeth E   Willhoft Natalie N   Allen Jamie J   Alvarez-Jarreta Jorge J   Chakiachvili Marc M   Flint Bethany B   Giorgetti Stefano S   Haggerty Leanne L   Ilsley Garth R GR   Loveland Jane E JE   Moore Benjamin B   Mudge Jonathan M JM   Tate John J   Thybert David D   Trevanion Stephen J SJ   Winterbottom Andrea A   Frankish Adam A   Hunt Sarah E SE   Ruffier Magali M   Cunningham Fiona F   Dyer Sarah S   Finn Robert D RD   Howe Kevin L KL   Harrison Peter W PW   Yates Andrew D AD   Flicek Paul P  

Nucleic acids research 20230101 D1


Ensembl (https://www.ensembl.org) has produced high-quality genomic resources for vertebrates and model organisms for more than twenty years. During that time, our resources, services and tools have continually evolved in line with both the publicly available genome data and the downstream research and applications that utilise the Ensembl platform. In recent years we have witnessed a dramatic shift in the genomic landscape. There has been a large increase in the number of high-quality reference  ...[more]

Similar Datasets

| S-EPMC4271150 | biostudies-literature
| S-EPMC3964975 | biostudies-literature
| S-EPMC4383879 | biostudies-literature
| S-EPMC1347495 | biostudies-literature
| S-EPMC3013672 | biostudies-literature
| S-EPMC7778975 | biostudies-literature
| S-EPMC7145704 | biostudies-literature
| S-EPMC6323964 | biostudies-literature
| S-EPMC5210575 | biostudies-literature
| S-EPMC5753206 | biostudies-literature