The UCSC Genome Browser database: 2022 update | Zendy

Brian T. Lee | Zendy; Galt P Barber | Zendy; Anna BenetPagès | Zendy; Jonathan D. Casper | Zendy; Hiram Clawson | Zendy; Mark Diekhans | Zendy; Clay Fischer | Zendy; Jairo Navarro Gonzalez | Zendy; Angie S. Hinrichs | Zendy; Christopher M. Lee | Zendy; Pranav Muthuraman | Zendy; Luis R Nassar | Zendy; Beagan Nguy | Zendy; Tiana Pereira | Zendy; Gerardo Perez | Zendy; Brian J. Raney | Zendy; Kate R. Rosenbloom | Zendy; Daniel Schmelter | Zendy; Matthew L Speir | Zendy; Brittney Wick | Zendy; Ann S. Zweig | Zendy; David Haussler | Zendy; Robert M. Kuhn | Zendy; Maximilian Haeussler | Zendy; W. James Kent | Zendy

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The UCSC Genome Browser database: 2022 update

Author(s) -

Brian T. Lee,

Galt P Barber,

Anna BenetPagès,

Jonathan D. Casper,

Hiram Clawson,

Mark Diekhans,

Clay Fischer,

Jairo Navarro Gonzalez,

Angie S. Hinrichs,

Christopher M. Lee,

Pranav Muthuraman,

Luis R Nassar,

Beagan Nguy,

Tiana Pereira,

Gerardo Perez,

Brian J. Raney,

Kate R. Rosenbloom,

Daniel Schmelter,

Matthew L Speir,

Brittney Wick,

Ann S. Zweig,

David Haussler,

Robert M. Kuhn,

Maximilian Haeussler,

W. James Kent

Publication year - 2021

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkab959

Subject(s) - genome browser , decipher , genome , context (archaeology) , biology , software , usability , visualization , genomics , world wide web , computational biology , computer science , genetics , gene , data mining , human–computer interaction , paleontology , programming language

The UCSC Genome Browser, https://genome.ucsc.edu, is a graphical viewer for exploring genome annotations. The website provides integrated tools for visualizing, comparing, analyzing, and sharing both publicly available and user-generated genomic datasets. Data highlights this year include a collection of easily accessible public hub assemblies on new organisms, now featuring BLAT alignment and PCR capabilities, and new and updated clinical tracks (gnomAD, DECIPHER, CADD, REVEL). We introduced a new Track Sets feature and enhanced variant displays to aid in the interpretation of clinical data. We also added a tool to rapidly place new SARS-CoV-2 genomes in a global phylogenetic tree enabling researchers to view the context of emerging mutations in our SARS-CoV-2 Genome Browser. Other new software focuses on usability features, including more informative mouseover displays and new fonts.

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