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Bioinformatics BRITE REU Summer Research Program

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Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - Junior
Undergraduates - Senior

Note: this opportunity encourages applications from community college students.

The BRITE REU at BU Bioinformatics focuses on computational and mathematical fundamentals of bioinformatics analysis through research projects in a broad range of topics, including gene regulatory networks, metabolic networks, analysis of microbial communities, synthetic biology, enzyme structure and function, machine learning methods for cancer subtype classification, and sequence analysis algorithms for identifying genetic variation.


Each student is assigned a Bioinformatics faculty mentor and a graduate student mentor. Training activities include workshops on Python and R programming; parallel and cloud computing; scientific communication skills, including creating a poster and presenting a talk; scientific ethics and responsible conduct of research; and applying to graduate school. Participants also attend bioinformatics research and career opportunities talks and enjoy a variety of social activities with bioinformatics graduate students, including tours of Boston, museum visits, evening barbecues, and casual lunches on campus.

Students receive a stipend, housing, and an allowance for meals. Travel to and from Boston University is covered as well as travel to a national, regional, or BU sponsored undergraduate research conference in the fall to present a poster describing the summer research.

The BRITE REU is sponsored by the Boston University Bioinformatics Program and the National Science Foundation NSF-REU Program to increase access to graduate programs for underrepresented minority students, with the ultimate goal of increasing diversity at the STEM professoriate level.

Participating Institution(s):
(Click an institution to see all programs it hosts)
Boston University (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Bioinformatics & Genomics
Cellular Biology
Computer & Electrical Engineering
Computer Sciences
Genetics & Genomics
Molecular Biology
STEM Fields

Big Data Science
Computational Biology
Gene Expression Studies
Genomic Analysis
Theoretical Physics

Learn More and Apply!

This program is funded by:
National Science Foundation (NSF)

Page last updated 3/9/2022
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