Adam Margolin

TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.

TL;DR: A powerful method combining quantitative proteomics (SILAC) with affinity enrichment is described to provide unbiased, robust and comprehensive identification of the proteins that bind to small-molecule probes and drugs.

TL;DR: The BAMSurgeon tool for simulating cancer genomes and the results of 248 analyses of three in silico tumors created with it are reported and, intriguingly, false positives show a trinucleotide profile very similar to one found in human tumors.

TL;DR: A computational model, validated in vivo, indicated that high BCL-xL expression confers resistance to MCL1 repression, thereby identifying a patient-selection strategy for the clinical development of M CL1 inhibitors.

TL;DR: This work uses a computational method, Analytic Technique for Assessment of RNAi by Similarity (ATARiS), that takes advantage of patterns in RNAi data across multiple samples in order to enrich for RNAi reagents whose phenotypic effects relate to suppression of their intended targets and produces quantitative, gene-level phenotype values, which provide an intuitive measure of the effect of gene suppression in each sample.