Genomics & Systems Biology

We are in the midst of a new revolution in biology enabled by the fields of Genomics and Systems Biology, whose goals are to achieve a comprehensive understanding of the information encoded in the genetic material of organisms and how it directs the organization and function of living systems enabled by analysis through integrative experimental and computational modeling approaches.
Genomics and Systems Biology are rapidly emerging fields, in which sub-disciplines are only beginning to be defined. Genomic science is founded in the analysis of genomic sequences and their molecular products. Starting from the complete genomic sequences of one or more species, functional and evolutionary genomics studies use high-throughput experimental and integrative computational approaches -- such as large-scale RNA and protein expression profiling, forward and reverse genetics, and cross-species comparisons -- to define the functions of genes and the structures of genetic networks, and how these change during development, in disease, and between organisms. Systems Biology approaches integrate different types of genome-scale data to develop predictive models for gene networks that can be used to derive testable hypotheses about the emergent properties, functions, and dynamics of organismal systems.

Faculty apply all of these approaches to investigate the structure, function, and evolution of biological networks in a broad range of experimental systems spanning bacteria, invertebrates, vertebrates, mammals, and plants.

Faculty and Research in Genomics and Systems Biology is conducted at the Center for Genomics and Systems Biology, which houses the research labs and core facilities. The Center also sponsors educational activities and events such as seminars and courses in Genomics and Systems Biology.


NYU Biology Faculty in this research area:

Ken Birnbaum* Cell identity, pluripotency and regeneration in plants.
Justin Blau Transcriptional regulation in circadian pacemaker neurons.
Richard Bonneau*
Network inference and protein structure design and prediction.
Jane Carlton*
Comparative genomics and evolution of malaria and sexually transmitted parasites.
Carlos Carmona-Fontaine*
Role of metabolites and cell signaling in multicellular organization of tumors and stem cells.
Lionel Christiaen
Gene network models for heart and skeletal muscle development.
Gloria Coruzzi* Plant systems biology: From predictive network modelling to trait evolution.
Claude Desplan Stochastic mechanisms and evolution of development.
Patrick Eichenberger* 
Transcriptional regulatory networks in spore-forming bacteria.
Sevinc Ercan* Regulation of transcription by chromatin structure.
David Fitch Gene-interaction networks regulating sexually dimorphic morphogenesis & its evolution.
Elodie Ghedin*
Viral evolution and host-pathogen interactions
David Gresham* Systems biology of cell growth and RNA degradation.
Kris Gunsalus*
Developmental systems biology.
Andreas Hochwagen 
Chromosome organization and repetitive DNA.
Edo Kussell* Stochastic processes in adaptation and evolution.
Fei Li
Chromatin organization and epigenetics.
Alex Mogilner
Computational modeling of cell motility and mitosis
Fabio Piano* Systems biology and evolution of embryogenesis.
Michael Purugganan Evolutionary genomics of plants.
Matthew Rockman*
Systems genetics of gene expression in C. elegans.
Christine Rushlow
Transcriptional programming in fly development.
Mark Siegal* Robustness and evolution of complex phenotypes.
Steve Small
Transcriptional Networks in developmental patterning.
Duncan Smith
DNA replication and repair; Epigenetics.
Daniel Tranchina
Computational neuroscience, stochastic gene expression, statistics of genomic data.
Christine Vogel* Proteomics and regulation of protein expression.
Rob DeSalle (AMNH)
Molecular systematics and evolutionary genomics.

*Faculty with a primary appointment in the Center for Genomics and Systems Biology

Sample course curriculum in this research area: