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Updated: Apr 21, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
The UCSC Cancer Genomics Browser: update 2015.
Mary Goldman1, Brian Craft2, Teresa Swatloski2
1Center for Biomolecular Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA mary@soe.ucsc.edu.
The UCSC Cancer Genomics Browser offers integrated data, analysis, and visualization tools for cancer research. It enables exploration of genomic alterations and phenotypes across 575 datasets, facilitating discovery and data sharing.
Area of Science:
- Genomics
- Bioinformatics
- Cancer Research
Background:
- The increasing volume of cancer genomic data requires integrated platforms for analysis and visualization.
- Effective tools are needed to explore relationships between genomic alterations and clinical phenotypes.
Purpose of the Study:
- To introduce the UCSC Cancer Genomics Browser as a comprehensive web-based application.
- To facilitate the discovery and sharing of research observations in cancer genomics.
Main Methods:
- Integration of diverse -omic data with clinical and phenotypic features.
- Visualization of genomic alterations alongside patient characteristics (age, subtype, biomarkers).
- Hosting of 575 public datasets from major cancer genomics initiatives.
Main Results:
- The platform allows dynamic generation of Kaplan-Meier plots and data export to Galaxy.
- Users can upload/download clinical data and create shareable URL bookmarks.
- Facilitates exploration of over 227,000 cancer samples.
Conclusions:
- The UCSC Cancer Genomics Browser provides a powerful, user-friendly resource for cancer researchers.
- It enhances the ability to investigate genotype-phenotype correlations and share findings effectively.
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