Students will participate in a USDA-funded project to identify and characterize gene regulatory sequences throughout the genomes of 50 or more insects of agricultural and biomedical importance.
Our laboratory studies gene regulation and genome evolution using a mixture of computational and experimental methods. We are interested in motivated students who are comfortable using command-line based software running on Linux and working with large data sets. While extensive coding skills are not required, minimal coding ability in Python, R, or a similar language is preferable. Students will participate in a USDA-funded project to identify and characterize gene regulatory sequences throughout the genomes of 50 or more insects of agricultural and biomedical importance, helping to develop and use computational approaches to discover, describe, and disseminate information about these important genomic elements.
The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration.
Length of commitment | Semester or longer; longer commitments preferred |
Start time | Anytime |
In-person, remote, or hybrid? | Hybrid |
Level of collaboration | Individual student project |
Benefits | Academic Credit, Volunteer |
Who is eligible | Students with basic command-line Linux skills and familiarity with R or Python. Interest/background in genetics/genomics preferred. |
Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.
B3-307 COEBLS, Jacobs School of Medicine and Biomedical Sciences
Phone: (716) 829-3126
Email: mshalfon@buffalo.edu
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
Biochemistry