A systematic strategy of transcriptional response analysis to identify known drugs for alternate uses in cancer treatment
Can high-throughput genomics data identify new therapeutic targets in cancer?
Characterization of Somatic Mutations in Cancer Genomes
Evolutionary dynamics of cancer
Dealing with the GC-content bias in second-generation DNA sequence data
Copy number profiling in cancer genomics
Integration of Omic Data for Prediction of Drug Response in Breast Cancer
A Comparison of 454 and Illumina for RNA-sequencing
Population Scale Detection of Common and Rare Genomic Rearrangements and Transcriptomic Aberrations