SLKBase functional genomics strategy for the SUM Breast cancer cell lines

Click below to view a brief power point presentation describing our strategy for integrating data from multiple omics platforms, including shRNA screens, to reveal important

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Copy number data for candidate oncogenes in each cell line
Point mutation data for genes recurrently mutated in cancer
Genome-wide expression data
Genome-scale shRNA interference screen data for all cell lines with hit data displayed on KEGG pathways
Genome-scale CRISPR screen data for all cell lines with hit data displayed on KEGG pathways
Narrative summary describing how each SUM cell line was developed and descriptions of originating sources and characteristics of 40 other breast cancer cell lines
Drug sensitivity data from the Genomics of Drug Sensitivity in Cancer data base, linked to a data mining tool for each cell line in the database
A Bibliography of peer-reviewed papers containing data obtained with each SUM cell line