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

* primary appointment in the Center for Genomics and Systems Biology

  • Kenneth D. Birnbaum *
    Cell identity, pluripotency and regeneration in plants.
  • Justin Blau
    Transcriptional regulation in circadian pacemaker neurons.
  • Richard A. 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 M. 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 H. Fitch
    Gene-interaction networks regulating sexually dimorphic morphogenesis & its evolution.
  • Elodie Ghedin *
    Viral evolution and host-pathogen interactions
  • David J. J. Gresham *
    Systems biology of cell growth and RNA degradation.

Sample course curriculum in this research area

Genomics & Systems Biology
Course Number   Course Name
Graduate Level
BIOL-GA 1001/1003   Bio Core 1/3: Molecules and Cells
BIOL-GA 1002/1004   Bio Core 2/4: Genes, Systems, and Evolution
BIOL-GA 2030   Statistics in Biology (computer)
BIOL-GA 3001   The Art of Scientific Investigation
BIOL-GA 1007   Programming for Bioinformatics
BIOL-GA 1009   Biological Databases and Datamining
BIOL-GA 1127   Bioinformatics and Genomes
BIOL-GA 1128   Systems Biology
BIOL-GA 1130   Applied Genomics: Intro to Bioinformatics and Network Modeling
BIOL-GA 1131   Biophysical Modeling of Cells and Populations
BIOL-GA 1051   Advanced Cell Biology: The Nucleus
BIOL-GA 1069   Principles of Evolution
BIOL-GA 1072   Molecular Controls of Organism Form and Function
BIOL-GA 2015   Genomics and Global Public Health
BIOL-GA 2130   Developmental Systems I
BIOL-GA 2131   Developmental Systems II
CSCI-GA 1170   Fundamental Algorithms
CSCI-GA 2420   Numerical Methods I
CSCI-GA 2112   Scientific Computing
CSCI-GA 2110   Programming Languages
CSCI-GA 2390   Logic in Computer Science
CSCI-GA 2433   Database Systems
CSCI-GA 2565   Machine Learning
CSCI-GA 3033   Computational Systems Biology
MATH-GA 2111   Linear Algebra
MATH-GA 2901   Basic Probability
Undergraduate Level
BIOL-UA 11/13   Principles of Biology I (or Honors)
BIOL-UA 12/14   Principles of Biology II (or Honors)
BIOL-UA 21   Molecular & Cell Biology I
BIOL-UA 22   Molecular & Cell Biology II
BIOL-UA 31   At the Bench: Laboratory in Genetics and Genomics
BIOL-UA 36   At the Bench: Applied Molecular Biology
BIOL-UA 38   Genome Biology
BIOL-UA 42   Biostatistics
BIOL-UA 44   Microbiology and Microbial Genomics
BIOL-UA 103   Bioinformatics in Medicine and Biology
BIOL-UA 120   Special Topics: Computing with Large Data Sets
BIOL-UA 124   Fundamentals of Bioinformatics
BIOL-UA 130   At the Bench: Biological Chemistry