Siahpirani paper earns top 10 at RECOMB/ISCB 2017
Congratulations to Alireza Siahpirani! His paper A prior-based integrative framework for functional transcriptional regulatory network inference earned a top 10 rating at RECOMB/ISCB November 19-21, 2017 in New York City, NY. ISCB is the leading professional society for computational biology and bioinformatics. Check out Siahpirani’s paper and the other top rated papers.
Sushmita Roy and Jean-Michel Ané win DOE grant
The $7 million grant will study how to wean crops from nitrogen fertilizers. Read more…
Brittany Baur and Junha Shin join Roy Lab
Welcome to Brittany Baur and Jun Ha Shin.
Junha is a postdoc who earned his Ph.D. in Biotechnology from Yonsei University in South Korea he is interested in bioinformatics based on networks and large-scale quantitative genomics.
Brittany is a postdoc who earned her Ph.D. in Computational Sciences from Marquette University. She is interested in predicting long-range enhancer-promoter interactions.
Sushmita Roy Co-Chaired Great Lakes Bioinformatic Conference
The conference was recently held at the University of Illinois at Chicago from May 15 – 17, 2017. More information on GLBio.
Deciphering Gene Regulatory Networks
Systems Biology researcher Sushmita Roy is leading an effort putting computational methods to work characterizing the gene regulatory networks responsible for cell differentiation. read more
Integrating Transcriptomic & Proteomic Data with predictive networks is in Top 10 reading list!
Our paper integrating Transcriptomic and proteomic data to study host response to influenza in host and mammalian systems is in the top 10 reading list
Congrats Debbie!
New grant to pursue research in regulatory network robustness and predictive power
We just received a “Studying complex systems” award from the James S. McDonnell Foundation. Go here for details. Postdoc positions available!
Sushmita gives an invited talk at Network inference workshop at ECCB2016
Understanding the Immune System with Machine Learning
Sushmita and Deborah’s recent paper was featured on wid.wisc.edu. http://wid.wisc.edu/featured-science/integrating-transcriptomic-and-proteomic-data-using-predictive-regulatory-network-models-of-host-response-to-pathogens/