GISTIC
GISTIC, short for Genomic Identification of Significant Targets in Cancer, is a statistical method and accompanying software tool used to identify significantly recurrent somatic copy-number alterations in cancer genomes. It aims to distinguish driver alterations that contribute to oncogenesis from passenger alterations that occur by chance by evaluating both how often an alteration occurs across a cohort and how large it is within individual tumors.
Input data for GISTIC come from genome-wide copy-number profiles of tumor samples, which can be produced by
GISTIC reports significant broad events (such as arm-level aneuploidies) and focal events (smaller, localized alterations). The
Versions of GISTIC have evolved, with GISTIC 2.0 introducing improvements in modeling broad versus focal events,
Limitations include dependence on the quality and resolution of copy-number data, potential sensitivity to sample size,