Ken Chen

My Lab is interested in comprehensively and accurately constructing the genomes and the transcriptomes of various cancer cell populations towards understanding the heterogeneity and the evolution of cancer as a consequence of genetics and environment. We are also interested in developing integrative approaches to identify biomarkers that are useful for diagnosis and prognosis. Project and Techniques: Students will be involved in learning Statistics, Computer Science, and Biology to solve cutting edge bioinformatics problems in the context of large-scale next-generation genome sequencing projects such as the cancer genome atlas (TCGA) and the 1000 genomes project. They will acquire computer skills in analyzing large-scale high dimensional data set, develop algorithms in C, perl, and R for DNA-seq and RNA-seq data analysis, and apply them to characterize genetic variants that affect cancer biology.