Office of Academic Enrichment Undergraduate Research & Creative Inquiry

Next-gen Sequencing Data Analysis and Computational Biology

Field of Study:
Bioinformatics, Genomics, and RNA Biology
Department of Biological Chemistry & Pharmacology and The Center for RNA Biology
Rank of Student:
Freshmen or sophomores who plan to apply for graduate schools. Or seniors who plan to take gap years.
Desired Majors:
Computer science, Mathematics, Genomics
Hours per Week:
Compensation Type:
Academic Credit,
Salary / Stipend,
Voluntary Experience
Application Deadline:
Wen Tang <>
Project Description
We investigate the mechanisms involved in function and biogenesis of small RNAs. Major goals of this project are to conduct comparative genomics and to develop computational pipelines to analyze and visualize mRNA-seq, small RNA-seq, CHIP-seq data.
Additional Information
Lab website:
Required Applicant Information
CV, GPA and availability
Required or Desired Skills
The position is best suited for the student who is interested in programming and computational analysis. S/He will gain experience in wet lab research as well.
Duties include: Perform some independent research and analyze deep sequencing data; Assist lab personnel with research projects; Participate in lab meeting and planning.
Desired qualifications: 1. Familiar with Next-Gen sequencing; 2. Has some experience with Python and R; 3. Able to use experience to perform a variety of new techniques; 4. Actively seeks opportunities to increase skills;
Faculty Member Lead:
Wen Tang
Starting Semester:
Length of Project (in semesters):