Granger BR, Chang Y-C, Wang Y, et al. Visualization of metabolic interaction networks in microbial communities using VisANT 5.0. PLoS Comput Biol. 2016;12(4): e1004875.
Harcombe WR, Riehl WJ, Dukovski I, Granger BR, et al. Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics. Cell Rep. 2014;7(4):1104-1115.
Stefanik DJ*, Lubinski TJ*, Granger BR*, et al. Production of a reference transcriptome and transcriptomic database (EdwardsiellaBase) for the lined sea anemone, Edwardsiella lineata, a parasitic cnidarian. BMC Genomics. 2014;15:71. *Equal contributors
Brian Granger, Ph.D.
Brian Granger is a computational biologist in the Genomics Platform of the Broad Institute of MIT and Harvard, where he is part of the new Translational Analysis Group (TAG) under the direction of Niall Lennon. The goal of TAG is to provide collaborators with computational service and support from the Genomics Platform, by integrating, maintaining, and executing the various computational tools and methods designed at the Broad Institute. The group incorporates a variety of tools into FireCloud and is standardizing and versioning these tools for the projects coming through the Genomics Platform. Brian focuses on tools and methods having to do with RNA.
Prior to joining the Broad Institute in June 2017, Brian was a postdoctoral researcher at AstraZeneca in Waltham, Massachusetts. Brian obtained a Ph.D. in bioinformatics at Boston University and holds a B.S. in computational biology from Carnegie Mellon University.
Contact Brian Granger via email at firstname.lastname@example.org.