Computational Laboratory in Population Genomics (BIO-0145)

Spring 2026 · BIO 0145 · Tufts University · 3 credits · Undergraduate

Evolutionary processes such as natural selection and genetic drift generate patterns in genomic sequence data that are often interpreted with computational analyses. Research-driven course exploring an open problem in population genomics through analysis of open access data, modeling of evolutionary processes, and/or simulation. Development of computational genetic research and scientific writing skills. Prerequisites: BIO 35 OR BIO 133 OR (BIO 143 and any computer science course)

Course codes: BIO-0145, BIO 0145, BIO0145, BIO-145, BIO 145, BIO145

01-LEC (Lecture) — Lawrence Uricchio

aSIStant

Filters

Semester

Filters

Subject

Exclude selected subjects

Course Number

Exclude matching numbers

Course Name

Exclude matching names

Description

Exclude matching descriptions

Instructor

Exclude matching instructors

Attributes

Exclude selected attributes

Enrollment Status

OpenWaitlistClosedUnknown

Exclude selected statuses

Credits

Meeting Days

MTUWTHF

Exclude selected days

Meeting Time

to

Instruction Mode

In-PersonHybridOnline

Exclude selected modes

Career

Grading Type

Consent Required

Discord