Cited by 273Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical ResearchGenomics and Rare Diseases

The UCSC Genome Browser database: 2022 update

Open access
Lee, Brian T, Barber, Galt P, Benet-Pagès, Anna, Casper, Jonathan, Clawson, Hiram, Diekhans, Mark, Fischer, Clay, Gonzalez, Jairo Navarro +17 more·2022·Nucleic Acids Research

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkab959

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A majority of novel TSSs were supported by spliced transcripts from RNA-seq and expressed sequence tags.

    “A majority of the novel TSSs were supported by spliced transcripts (see methods) from RNA-seq25,26 and expressed sequence tag27”

    From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [27]

    The NEW GENOME BROWSER DATA section describes genome-browser tracks, but does not report whether novel TSSs were supported by spliced transcripts. Searches for “expressed sequence tag,” “EST,” and “transcription start sites” found no passage establishing that the cited browser update supplied the EST evidence or the claimed majority. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 17

  1. [1]Kent W.J., Zweig A.S., Barber G., Hinrichs A.S., Karolchik D. BigWig and BigBed: enabling browsing of large distributed datasets. Bioinformatics. 2010; 26: 2204– 2207. 20639541 PMC2922891
  2. [3]Karolchik D., Hinrichs A.S., Furey T.S., Roskin K.M., Sugnet C.W., Haussler D., Kent W.J. The UCSC Table Browser data retrieval tool. Nucleic Acids Res. 2004; 32: D493– D496. 14681465 PMC308837
  3. [4]Raney B.J., Dreszer T.R., Barber G.P., Clawson H., Fujita P.A., Wang T., Nguyen N., Paten B., Zweig A.S., Karolchik D. et al. Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser. Bioinformatics. 2014; 30: 1003– 1005. 24227676 PMC3967101
  4. [5]Nguyen N., Hickey G., Raney B.J., Armstrong J., Clawson H., Zweig A., Karolchik D., Kent W.J., Haussler D., Paten B. Comparative assembly hubs: web-accessible browsers for comparative genomics. Bioinformatics. 2014; 30: 3293– 3301. 25138168 PMC4296145
  5. [6]Rhie A., McCarthy S.A., Fedrigo O., Damas J., Formenti G., Koren S., Uliano-Silva M., Chow W., Fungtammasan A., Kim J. et al. Towards complete and error-free genome assemblies of all vertebrate species. Nature. 2021; 592: 737– 746. 33911273 PMC8081667
  6. [9]Navarro Gonzalez J., Zweig A.S., Speir M.L., Schmelter D., Rosenbloom K.R., Raney B.J., Powell C.C., Nassar L.R., Maulding N.D., Lee C.M. et al. The UCSC Genome Browser database: 2021 update. Nucleic Acids Res. 2021; 49: D1046– D1057. 33221922 PMC7779060
  7. [10]Lappalainen I., Lopez J., Skipper L., Hefferon T., Spalding J.D., Garner J., Chen C., Maguire M., Corbett M., Zhou G. et al. dbVar and DGVa: public archives for genomic structural variation. Nucleic Acids Res. 2013; 41: D936– D941. 23193291 PMC3531204
  8. [11]Karczewski K.J., Francioli L.C., Tiao G., Cummings B.B., Alföldi J., Wang Q., Collins R.L., Laricchia K.M., Ganna A., Birnbaum D.P. et al. The mutational constraint spectrum quantified from variation in 141, 456 humans. Nature. 2020; 581: 434– 443. 32461654 PMC7334197
  9. [12]Cummings B.B., Karczewski K.J., Kosmicki J.A., Seaby E.G., Watts N.A., Singer-Berk M., Mudge J.M., Karjalainen J., Satterstrom F.K., O’Donnell-Luria A.H. et al. Transcript expression-aware annotation improves rare variant interpretation. Nature. 2020; 581: 452– 458. 32461655 PMC7334198
  10. [13]Rentzsch P., Witten D., Cooper G.M., Shendure J., Kircher M. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Res. 2019; 47: D886– D894. 30371827 PMC6323892
  11. [14]Rentzsch P., Schubach M., Shendure J., Kircher M. CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Med. 2021; 13: 31. 33618777 PMC7901104
  12. [15]Ioannidis N.M., Rothstein J.H., Pejaver V., Middha S., McDonnell S.K., Baheti S., Musolf A., Li Q., Holzinger E., Karyadi D. et al. REVEL: an ensemble method for predicting the pathogenicity of rare missense variants. Am. J. Hum. Genet. 2016; 99: 877– 885. 27666373 PMC5065685
  13. [16]Fernandes J.D., Hinrichs A.S., Clawson H., Gonzalez J.N., Lee B.T., Nassar L.R., Raney B.J., Rosenbloom K.R., Nerli S., Rao A.A. et al. The UCSC SARS-CoV-2 Genome Browser. Nat. Genet. 2020; 52: 991– 998. 32908258 PMC8016453
  14. [17]Benet-Pagès A., Rosenbloom K., Nassar L., Lee C., Raney B., Clawson H., Schmelter D., Casper J., Gonzalez J.N., Perez G. et al. Variant interpretation: UCSC Genome Browser recommended track sets. 2021; 10.22541/au.162547326.67836758/v1. PMC9288501 35088925 · DOI
  15. [19]Turakhia Y., Thornlow B., Hinrichs A.S., De Maio N., Gozashti L., Lanfear R., Haussler D., Corbett-Detig R. Ultrafast sample placement on existing trees (UShER) empowers real-time phylogenetics for the SARS-CoV-2 pandemic. 2020; bioRxiv doi: 28 September 2020, preprint: not peer reviewed 10.1101/2020.09.26.314971. PMC9248294 33972780 · DOI
  16. [20]Zhang Q., Bastard P., Liu Z., Le Pen J., Moncada-Velez M., Chen J., Ogishi M., Sabli I.K.D., Hodeib S., Korol C. et al. Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Science. 2020; 370: eabd4570. 32972995 PMC7857407
  17. [21]Speir M.L., Bhaduri A., Markov N.S., Moreno P., Nowakowski T.J., Papatheodorou I., Pollen A.A., Raney B.J., Seninge L., Kent W.J. et al. UCSC cell browser: Visualize your single-cell data. Bioinformatics. 2021; 10.1093/bioinformatics/btab503. PMC8652023 34244710 · DOI

Cited by

Sorted by citations

Authors
Lee, B. T., Barber, G. P., Benet-Pagès, A., Casper, J., Clawson, H., Diekhans, M., Fischer, C., Gonzalez, J. N., Hinrichs, A. S., Lee, C. M., Muthuraman, P., Nassar, L. R., Nguy, B., Pereira, T., Perez, G., Raney, B. J., Rosenbloom, K. R., Schmelter, D., Speir, M. L., Wick, B. D., Zweig, A. S., Haussler, D., Kuhn, R. M., Haeussler, M., & Kent, W. J.
Affiliations
  • University of California, Santa Cruz (US)
  • Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
Corresponding author
Lee, Brian T
Venue
Nucleic Acids Research
Published
2021-10-28
Volume
50
Issue
D1
Pages
D1115-D1122
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W3208459100
Cited by
273
References
4
Citations by year
2026: 17 · 2025: 37 · 2024: 68 · 2023: 86 · 2022: 62 · 2021: 2
FWCI
18.99
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • National Human Genome Research Institute (5U41HG002371, 5U41HG007234, 5R01HG010329)
  • National Institutes of Health (5U01HG010971)
  • U.S. Department of Health and Human Services (1U41HG010972)
  • Howard Hughes Medical Institute (090100)
  • Silicon Valley Community Foundation (2017-171531(5022))
  • Center for Information Technology Research in the Interest of Society (2020-0000000026)
  • University of California Office of the President Emergency (R00RG2456)
  • California Department of Public Health (20-11088)
  • California HIV/AIDS Research Program (R01RG3764)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
Keywords
UCSC Genome Browser, genome browser, PCR, gnomAD, DECIPHER, CADD, REVEL, variant interpretation, SARS-CoV-2 genome, phylogenetic tree
MeSH terms
Exome Sequencing, SARS-CoV-2, Animals, Humans, Phylogeny, User-Computer Interface, Genome, Human, Polymerase Chain Reaction, Databases, Genetic, Web Browser

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review