Genomic technologies produce vast amounts of data that requires extensive bioinformatics support. Computer scientists at CSHL are developing sophisticated databases and computational methods for analyzing the vast amount of data that is becoming available from comparative studies of a wide variety of genome sequences, DNA microarray research, and other functional genomics experiments. Some of theses researchers are refining powerful computational methods for identifying the differences between DNA isolated from normal cells and tumor cells taken from the same patient. Others are creating software that enables detection and characterization of promoter elements, first exons and cryptic and alternative splice sites. And others are developing comprehensive databases for cataloging information that allow scientists to retrieve relevant information and identify correlations between genetic changes and biological processes.

Ravi Sachidanandam - Sequence analysis; RNAi; splicing; phylogeny; simulations; modelling; genetic networks
Lincoln Stein - Genome informatics; bioinformatics; mapping; software; World Wide Web
Michael Zhang - Computational genomics; statistical pattern recognition; gene expression and regulation