schatzlab.cshl.eduSchatz Laboratory

Cold Spring Harbor Laboratory | Johns Hopkins University research teaching publications people apply Welcome Our main research interest is in understanding the structure and function of genomes, especially those of medical or agricultural importance. The core strength of our research is in developing novel algorithms and computational systems for large-scale biological sequence analysis, including leading algorithms for de novo genome assembly, variant detection, and related –omics assays. Using these advances we have contributed to the de novo genome assemblies of dozens of species; probed the sequence variations related to autism, cancer, and other human diseases; mapped the transcriptional and epigenetic profiles of tomatoes, corn, and other important plant species; and explored the role of microbes in different environments. In response to the deluge of biological sequence data we are now facing, we have also been at the forefront of distributed and parallel computing in genomics, and have pioneered the use of cloud computing and Hadoop/MapReduce as an enabling platform to address the big data challenges we are all facing. Looking forward, we see ourselves at the intersection of biotechnology and algorithmics, developing systems for probing the structure and function of genomes using the best technologies possible. Our expertise spans from low level computer architecture, through sequencing, de novo assembly, variant identification, transcriptome & other -omics data and up to machine learning approaches to build predictive models of diseases and treatment response. In addition to ongoing projects in autism & other human diseases, and developmental plant biology, I was granted an NSF CAREER award to research new approaches for analyzing single molecule sequencing, especially for genome and transcriptome analysis of crop species. Another recent thrust has been to develop algorithms for single cell analysis, especially to use copy number variations within individual tumor cells to examine how cancer progresses. Altogether, we intend to develop powerful new methods for analyzing large collections of genomes to address questions of disease, development, and evolution. Please see the new lab website at http://schatz-lab.org Michael Schatz Bloomberg Distinguished Associate Professor of Computer Science and Biology Johns Hopkins University Department of Computer Science 3400 N Charles St Malone Hall 323 Baltimore, MD 21211 Cell: (703) 966-1987 E-mail: mschatz <at> cs.jhu.edu Adjunct Associate Professor of Quantitative Biology Cold Spring Harbor Laboratory One Bungtown Road Koch Building 1121 Cold Spring Harbor, NY 11724 Tel: (516) 367-5218 Fax: (516) 367-8380 E-mail: mschatz <at> cshl.edu Twitter: @mike_schatz Last Updated: Jun 16 2017 10:52:26 AM...