CellMiner-SCLC integrates drug sensitivity and genomic data, including whole genome transcriptome, copy number alterations, high-resolution methylome, and H3K27 acetylation from 118 patient-derived small cell lung cancer (SCLC) cell lines from the NCI, the University of Texas Southwestern (UTSW) Medical Center, the Broad Institute-MIT Cancer Cell Line Encyclopedia (CCLE), the Welcome-Sanger Genomics of Drug Sensitivity in Cancer (GDSC), and the  NCI Almanac cell line sets. As there are overlaps of cell lines and drug responses between many of these cell line sets, one may fill in some data type gaps by merging data from two sources, as well as do quality control by comparisons of the same data from multiple institutions. This rich set of data and functions facilitates the exploration of the relationships between and among molecular alterations and pharmacological responses in cancer cell lines. ^(1), (2)