The Computational Biology and Functional Genomic lab at the Dana-Farber Cancer Institute  focuses on the application of functional genomics techniques including microarrays, proteomics, metabolomics, and other high-throughput approaches. The lab also focuses on the development of computational approaches in support of these studies, helping to develop a comprehensive view of human diseases including cancer. The goals of the lab are to develop software, databases, and bioinformatics techniques that will allow development of new diagnostics and a more complete understanding of the cellular networks that are mechanistically responsible for diseases, and to make those tools widely and freely available to the research community.

Professor Cheng Li wrote and maintains the software dChip, one of the first complete software platforms for analyzing Affymatrix gene expression data. dChip implements many widely used tools to analyze expression data, such as clustering dendograms and heat maps, as well as newer methods for model-based analysis of expression and loss of heterozygosity data developed by Li and others.