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Cited by 371

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

The UCSC Cancer Genomics Browser: update 2015

Open access
Goldman, Mary, Craft, Brian, Swatloski, Teresa, Cline, Melissa, Morozova, Olena, Diekhans, Mark, Haussler, David, Zhu, Jingchun·2015·Nucleic Acids Research

Abstract

The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a web-based application that integrates relevant data, analysis and visualization, allowing users to easily discover and share their research observations. Users can explore the relationship between genomic alterations and phenotypes by visualizing various -omic data alongside clinical and phenotypic features, such as age, subtype classifications and genomic biomarkers. The Cancer Genomics Browser currently hosts 575 public datasets from genome-wide analyses of over 227,000 samples, including datasets from TCGA, CCLE, Connectivity Map and TARGET. Users can download and upload clinical data, generate Kaplan-Meier plots dynamically, export data directly to Galaxy for analysis, plus generate URL bookmarks of specific views of the data to share with others.

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Crossref · 10.1093/nar/gku1073

Cites

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Metadata

Authors
Goldman, M., Craft, B., Swatloski, T., Cline, M., Morozova, O., Diekhans, M., Haussler, D., & Zhu, J.
Venue
Nucleic Acids Research
Published
2014-11-11
Volume
43
Issue
D1
Pages
D812-D817
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2917738795
Cited by
371
References
22
FWCI
9.33
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The UCSC Cancer Genomics Browser: update 2015. https://app.cochat.ai/papers/10.1093/nar/gku1073
The paper
Goldman, M., Craft, B., Swatloski, T., Cline, M., Morozova, O., Diekhans, M., Haussler, D., & Zhu, J. (2015). The UCSC Cancer Genomics Browser: update 2015. Nucleic Acids Research. https://doi.org/10.1093/nar/gku1073

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.