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, last summer 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.

Recent News
» Two Schatzlab talks at AGBT
Feb 28, 2015
» Schatz named a 2015 Sloan Research Fellow
Feb 23, 2015
» Extending reference assembly models
Jan 28, 2015
» Three Schatzlab talks at PAGXXIII
Jan 13, 2015
» The challenge of small-scale repeats for indel discovery
Jan 7, 2015
(past news)

Upcoming Events

» Single-cell and Microbiome genomics
Simons Foundation. New York, NY. March 27, 2015
» Future of Long Read Assembly
University of Minnesota. St. Paul, MN, April 9-10, 2015
» The Biology of Genomes
CSHL, Cold Spring Harbor NY. May 5 - 9, 2015
» NYU Genomics and Systems Biology Symposium
NYU. New York, NY. May 22, 2015
» Festival of Genomics
Boston Convention and Exhibition Center. June 22-24, 2015
» Evolution of Sequencing
CSHL. July 16-19, 2015
» Probabilistic Modeling in Genomics
CSHL. Oct 14-17, 2015
» Genome Informatics
CSHL. Oct 28-31, 2015
~~ 2016 ~~

» Advances in Genome Biology and Technology (AGBT)
Orlando FL. Feb 12 - 14, 2015
» Genome Informatics
Cambridge, England. Sept 21-24, 2016
» Biological Data Science
CSHL. Oct 26-29, 2016
(presentation archive)



Michael Schatz
Cold Spring Harbor Laboratory
One Bungtown Road
Koch Building 1119
Cold Spring Harbor, NY 11724

Tel: (516) 367-5218
Cel: (703) 966-1987
Fax: (516) 367-8380
E-mail: mschatz <at> cshl.edu
Twitter: @mike_schatz