Genomic Identification of Significant Targets in Brain Cancer

摘要: Recent advances in technology have empowered the cancer community to collect an almost unlimited amount of molecular data points from even small, routinely collected primary human tumor samples. It is still unclear, however, how best extract biologically relevant information such datasets for subsequent validation studies and biomarker development. The need robust computational tools particularly pressing systematic analysis genome which hampered by lack a statistical framework distinguish between “driver” mutations “passenger” mutations. In this chapter, we review new bioinformatic method, called genomic identification significant targets (GISTIC), designed analyzing chromosomal aberrations under specific consideration random events. This chapter describes original development method on glioma samples, its application other types, further modifications algorithm.