Publications

Researchers compared whole-exome sequencing of matched benign, malignant and metastatic skin tumors to study the evolution of metastasis.

Researchers used bioinformatics tools to detect heterogeneity within tumors in The Cancer Genome Atlas.

The authors developed a web interface to allow the linkage of genetic information from The Cancer Genome Atlas with associated clinical data.

The researchers used an algorithm to identify drivers of the transformation from follicular lymphoma to diffuse large B-cell lymphoma

Researchers created a high-throughput method for identifying protein-protein interactions in live cells

Researchers present a new technique for unsupervised clustering that can help determine the optimal number of clusters in a data set called COmbined Mapping of Multiple clUsteriNg ALgorithms (COMMUNAL).

Researchers discuss a novel variant annotator, TransVar, to perform three main functions supporting diverse reference genomes and transcript databases.

Authors discuss using a novel ACME algorithm to identify drug mechanisms of action, molecular markers of response, responsive cancer subtypes and compounds that produce synergistic cell inhibition.

Researchers introduce a technology to unbiasedly select high specificity compound(s) that bind any biomolecule (e.g., proteins, lipids, carbohydrates) presented on the cancer cell surface but not on normal cells.

Researchers identified clinically relevant A-to-I RNA editing events by analyzing the RNA editing profiles of over 6,000 patient samples.