A webserver developed for predicting priority and potency of an anticancer drug against a cancer cell line using its genomic features, in order to throw light in the field of personalized medicine, particularly in designing patient-specific anticancer drugs. We investigated drug profile of 24 anticancer drugs tested against a large number of cell lines in order to understand the relation between drug resistance and altered genomic features of a cancer cell line. We detected frequent mutations, high expression and high copy number variations of certain genes in both drug resistant cell lines and sensitive cell lines.
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