NIH R01 on Learning Conditionally Essential Networks in the Protein Homeostasis System is funded

Our R01 grant proposal on using Tn-seq to learn conditionally essential networks in the protein homeostasis system has been selected for funding by the NIH. This work build on our work on chemogenomics work indentifying essential genes here and here as well as our statistical methodology work on identifying subtypes in genomic data here, here, and here. More details are in this UMass News article and NIH RePORTer. We’re looking forward to doing this work!