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Nassar, L.R.* ; Barber, G.P.* ; Benet-Pages, A. ; Casper, J.* ; Clawson, H.* ; Diekhans, M.* ; Fischer, C.* ; Gonzalez, J.N.* ; Hinrichs, A.S.* ; Lee, B.T.* ; Lee, C.M.* ; Muthuraman, P.* ; Nguy, B.* ; Pereira, T.* ; Nejad, P.* ; Perez, G.* ; Raney, B.J.* ; Schmelter, D.* ; Speir, M.L.* ; Wick, B.D.* ; Zweig, A.S.* ; Haussler, D.* ; Kuhn, R.M.* ; Haeussler, M.* ; Kent, W.J.*

The UCSC genome browser database: 2023 update.

Nucleic Acids Res. 51, D1188–D1195 (2023)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The UCSC Genome Browser (https://genome.ucsc.edu) is an omics data consolidator, graphical viewer, and general bioinformatics resource that continues to serve the community as it enters its 23rd year. This year has seen an emphasis in clinical data, with new tracks and an expanded Recommended Track Sets feature on hg38 as well as the addition of a single cell track group. SARS-CoV-2 continues to remain a focus, with regular annotation updates to the browser and continued curation of our phylogenetic sequence placing tool, hgPhyloPlace, whose tree has now reached over 12M sequences. Our GenArk resource has also grown, offering over 2500 hubs and a system for users to request any absent assemblies. We have expanded our bigBarChart display type and created new ways to visualize data via bigRmsk and dynseq display. Displaying custom annotations is now easier due to our chromAlias system which eliminates the requirement for renaming sequence names to the UCSC standard. Users involved in data generation may also be interested in our new tools and trackDb settings which facilitate the creation and display of their custom annotations.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2023
Prepublished im Jahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 0305-1048
e-ISSN 1362-4962
Quellenangaben Band: 51, Heft: D1, Seiten: D1188–D1195 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-503200-001
PubMed ID 36420891
Erfassungsdatum 2022-12-09