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Getting poster data...
Brian Craft, Teresa Swatloski, Mary Goldman, Kyle Ellrott, Melissa Cline, Christopher Wilks, Singer Ma, Christopher Szeto, Josh Stuart, David Haussler, Jingchun Zhu (UC Santa Cruz, Santa Cruz, CA, USA)
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a set of web-based tools to display, investigate and analyze cancer data. Genomic data is shown as a heatmap side-by-side with its associated clinical information, allowing users to group samples by either data type. Biological pathways and collections of genes can also be used to sort, aggregate and zoom into groups of samples. Summary views, online statistical analysis, and Kaplan Meier survival plots allow easy comparisons across subgroups. Custom clinical data allow users to integrate their own sample annotations into existing datasets. The browser provides whole-genome to base-pair-level views of several different types of genomics data, including some next-generation sequencing platforms. We currently display an expanding set of data, including 473 datasets from 25 TCGA (The Cancer Genome Atlas) cancers as well as data from CCLE (Cancer Cell Line Encyclopedia) and SU2C (Stand Up To Cancer). Displaying LINCS data has given us an opportunity to start working on addressing issues surrounding very large datasets.