Mentor: David Banks-Richardson (University of Rhode Island)
Co-Mentor(s): Ying Zhang (University of Rhode Island)
Project Location
University of Rhode Island – Kingston
Project Description
Next-generation sequencing technologies, including shotgun metagenomics, have shed light on the previously unknown inner workings of microbial communities. From 2017 to 2020, our laboratory has collected 68 shotgun metagenomes representing the free-living bacterial community in Narragansett Bay. The 1.1 TB of data produced from this effort contain information about microbial actors and processes affecting the biogeochemistry of the Narragansett Bay. In this project, students will gain experiences in analyzing large-scale metagenomic datasets by applying a newly developed software package in our laboratory. Students will contribute to the testing of the software and examine the composition of microbial communities in response to environmental changes at the Narragansett Bay.
This project involves:
- computational work
Available for SURF Flex?
Yes
Required/preferred skills
Previous experience with computer programming (R, Python, Tensorflow) or a strong interest in computational biology. Coursework in Computer Science, Machine Learning, Deep Learning or Biology.
2022
Rhode Island EPSCoR is funded by the National Science Foundation under EPSCoR Research Infrastructure Improvement Award #OIA-1655221 (Sept. 2017-Aug. 2022). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.