Our group develops computational methods for understanding the dynamics, interactions and conservation of complex biological systems. As new high-throughput biological data sources become available, they hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, each type of data is noisy, contains many missing values and only measures a single aspect of cellular activity. Our computational focus is on methods for large scale data integration. We primarily rely on machine learning and statistical methods. Most of our work is carried out in close collaboration with experimentalists. Many of the computational tools we develop are available and widely used.
Three group members accept new faculty positions. Current group members Saket Navlakha (postdoc MLD) and Xin He (Lane fellow and postdoc, co advised with K. Roeder) and former group member Tony Gitter (PhD 2012) will start as Assistant Prof. in the Fall. Saket is joining the Salk Institute for Biological Studies in San Diego. Xin will join the Human Genetics department at the Universtiy of Chicago and Tony will be joining Department of Biostatistics & Medical Informatics and the Morgridge Institute for Research at the University of Wisconsin, Madison. The diversity in terms of types of the departments each is joining indicates the growing importance of computational biology across areas ranging from basic science to clinical studies to statistics and computer science. Congratulations and good luck to all!
Yeast networks provide insights for improving computational network security . In a new paper in the journal Proceeding of the Royal Society Interface we discuss how lessons from yeast and other biological networks can be used to design and evaluate secure communication networks. The work has been highlighted by a CMU press release and a few other venues ( dataconomy , Campus Technology )
SDREM selected as a top systems biology paper. The RECOMB/ISCB Conference on Regulatory and Systems Genomics, selected the Top Ten Papers in the field of Regulatory and Systems Genomics for 2013. We were happy to see that our SDREM paper, that appeared in 2013 in Genome Research is part of that list. Congratulations to Tony!