Roy Lab

Menu

Skip to content
  • Home
  • Research
  • Outreach
    • ISMB 2018 Tutorial
    • TALKS
  • People
  • Publications
  • News
  • Teaching
  • Software
  • Jobs

ArboretumArboretum
Multi-task Graph clusteringMulti-task Graph clustering
Network-based approaches for complex bio systemsNetwork-based approaches for complex bio systems
Integrating Transcriptomic and Proteomic Data fig4Integrating Transcriptomic and Proteomic Data fig4
Integrating Transcriptomic and Proteomic Data fig2Integrating Transcriptomic and Proteomic Data fig2
We are a computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. We are interested in identifying networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and constructing predictive models from these networks. This can help us understand

(1) how environmental information is processed in cells to mount appropriate condition-specific responses,
(2) how these networks change across different contexts such as environmental stresses, cell-types, tissues, diseases, and,
(3) how these networks have evolved to suit organism life-style and habitat.

Most important, by comparing such networks across many different contexts, we can identify the general organizational principles as well as notable exceptions that underlie condition-specific and organism-specific behavior.

Sysbio Journal Club

Meets biweekly
Mondays at 12:30 pm
Discovery Building, room 3160

We are hiring

Postdoctoral positions in computational network biology and regulatory genomics

Visit our blog:

Just Compiling A space to share thoughts on computational systems biology

News

  • New tool predicts three-dimensional organization of human chromosomes December 9, 2019
  • Vishwesh Presents and Graduates August 28, 2019
  • UW–Madison research team finds new ways to generate stem cells more efficiently May 7, 2019
© 2021 Roy Lab