Abstract

Abstract The CellMiner (http://discover.nci.nih.gov/cellminer)and CellMinerCDB (https://discover.nci.nih.gov/cellminercdb/) web-applications provide complimentary functionality and datatsets that may be used for comparisons of genomic, molecular and pharmacological data within the NCI-60 cancerous cell lines, Cancer Cell Line Encyclopedia (CCLE), Genomics of Drug Sensitivity in Cancer (GDSC), Cancer Therapeutics Response Portal (CTRP), NCI/DTP small cell lung cancer (SCLC), and NCI Almanac cell line sets. CellMiner contains data for the NCI-60, including the most extensive sets of molecular and drug activity data (generated by the NCI Developmental Therapeutics Program https://dtp.cancer.gov),found for any of the databases. CellMinerCDB contains all the above mentioned cell line sets, including the substantially increased cell line numbers and tissue of origin types found in the CCLE, GDSC, and CTRP. The two web-applications have separate but complimentary functionalities. Each cell line set has some variable number of data types, some of which measure the same parameters, and some that do not. The number and make up of cell lines also varies, from 60 for the NCI-60, 69 for the SCLC, and ~1000 for the CCLE, GDSC, and CTRP. As there are partial overlaps of cell lines 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 from the omic perspective. Citation Format: William C. Reinhold, Sudir Varma, Yang-Hsin Wang, Fathi Elloumi, Yves Pommier. CellMinerCDB and CellMiner web-applications for genomics and pharmacogenomics analyses of cancer cell lines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2488.

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