Mentor: Christopher Powers, University of Rhode Island
Co-Mentor: Ying Zhang, University of Rhode Island
Project Location
University of Rhode Island-Kingston
Project Description
One of the most common techniques used for understanding the ecological role of a microbial community is to measure the diversity of its constituents. Previously, we have developed a web portal that visualizes the taxonomic profiles of bacteria in Narragansett Bay (NB). As an extension to this prior project, here we propose to build a web based platform for the visualization and analysis of the functional potentials represented by their genomes. This platform will be enabled by our in-house open source software package, PSAMM, and will provide the capacity for curating and analyzing metabolic pathways from genome annotations. Students will receive training on metabolic modeling and metagenomics. This research will provide novel insights into the functional diversity of microbial communities in NB and allow access for a broad community of researchers.
Additional Information
- Dr. Zhang’s Research Page
RI NSF EPSCoR is supported in part by the U.S. National Science Foundation under EPSCoR Cooperative Agreements #OIA-2433276 and in part by the RI Commerce Corporation via the Science and Technology Advisory Committee [STAC]. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation, the RI Commerce Corporation, STAC, our partners or our collaborators.