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 accessAbstract
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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Cites
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Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
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COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
Forbes, S. A., Bindal, N., Bamford, S., Cole, C., Kok, C. Y., Beare, D., Jia, M., Shepherd, R., Leung, K., Menzies, A., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq929 · Cited by 2,278
Galaxy: A platform for interactive large-scale genome analysis
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Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists
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The genetic landscape of high-risk neuroblastoma
Pugh, T. J., Morozova, O., Attiyeh, E. F., Asgharzadeh, S., Wei, J. S., Auclair, D., Carter, S. L., Cibulskis, K., Hanna, M., Kiezun, A., et al. (2013) · Nature Genetics · doi:10.1038/ng.2529 · Cited by 1,186
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Self-citation
Cited by
LinkedOmics: analyzing multi-omics data within and across 32 cancer types
Vasaikar, S. V., Straub, P., Wang, J., & Zhang, B. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1090 · Cited by 2,312
Multi-omics Data Integration, Interpretation, and Its Application
Subramanian, I., Verma, S., Kumar, S., Jere, A., & Anamika, K. (2020) · Bioinformatics and Biology Insights · doi:10.1177/1177932219899051 · Cited by 1,609
Samanta, D., Gilkes, D. M., Chaturvedi, P., Xiang, L., & Semenza, G. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421438111 · Cited by 460
RetractedSex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data
Yang, W., Warrington, N. M., Taylor, S. J., Whitmire, P., Carrasco, E., Singleton, K. W., Wu, N., Lathia, J. D., Berens, M. E., Kim, A. H., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aao5253 · Cited by 348
Li, Q., Li, B., Li, Q., Wei, S., He, Z., Huang, X., Wang, L., Xia, Y., Xu, Z., Li, Z., et al. (2018) · Cell Death & Disease · doi:10.1038/s41419-018-0928-8 · Cited by 219
Metadata
- Authors
- Goldman, M., Craft, B., Swatloski, T., Cline, M., Morozova, O., Diekhans, M., Haussler, D., & Zhu, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- 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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- 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.