Lewis-Sigler Institute for Integrative Genomics
Ned S. Wingreen (spring)
Ned S. Wingreen
Peter Andolfatto, also Ecology and Evolutionary Biology
William Bialek, also Physics
David Botstein, also Molecular Biology
Thomas Gregor, also Physics
Leonid Kruglyak, also Ecology and Evolutionary Biology
Manuel Llinás, also Molecular Biology
Coleen T. Murphy, also Molecular Biology
Joshua D. Rabinowitz, also Chemistry
Joshua W. Shaevitz, also Physics
Stanislav Y. Shvartsman, also Chemical and Biological Engineering
Mona Singh, also Computer Science
John D. Storey, also Molecular Biology
David W. Tank, Molecular Biology, Princeton Neuroscience Institute
Olga G. Troyanskaya, also Computer Science
Eric F. Wieschaus, also Molecular Biology
Ned S. Wingreen, also Molecular Biology
Bernard Chazelle, Computer Science
John Groves, Chemistry
Chase P. Broedersz
Tessa R. Calhoun
Megan N. McClean
Marcus B. Noyes
Ethan O. Perlstein
The Lewis-Sigler Institute for Integrative Genomics was established with a mandate to develop novel approaches to the study of biology in a post-genome-sequence era. The institute comprises a multidisciplinary group of scientists and students working at the interface of biology and the more quantitative sciences and computation. This is meant to include, among others, the fields of genomics, biophysics, computational neurobiology, systems biology, population biology and quantitative genetics, molecular evolution, computational biology, and microbial interactions. Unlike other genomics institutes, the Lewis-Sigler Institute does not focus on generating large amounts of sequence data. Rather, the focus is to extract from these enormous amounts of data an understanding of how biological systems organize and integrate complex processes.
The institute consists of 12 to 15 research groups. All tenured and tenure-track faculty in the institute have appointments in one of the University's departments; among them are molecular biology, ecology and evolutionary biology, physics, chemistry, computer science, chemical and biological engineering, and potentially others.
The institute's mandate includes innovation in teaching, specifically the teaching of biology integrated fully with the more quantitative sciences, mathematics, and computation. Education is carried out formally through the undergraduate certificate and graduate Program in Quantitative and Computational Biology (QCB).
In sum, the Lewis-Sigler Institute is a hub of intellectual activity for quantitatively oriented biologists at every level: undergraduate, graduate, and faculty.