BIOMI 6300

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST

BIOMI 6300
Computational Approaches for Microbial Systems

Course information provided by the 2025-2026 Catalog.

High-throughput sequencing has revolutionized and become common practice across the field of microbiology. This course will prepare students for analyzing large sequencing datasets through a meaningful biological lens. Via a combination of lectures, discussions of primary literature, and hands-on, data-driven computational labs, we will learn how to organize computational projects, work in the command line, perform cloud computing, and gather, interpret, and analyze amplicon, genomic, and shot-gun metagenomic data to advance our understanding of microbial systems. We will evaluate the distribution of microbial biodiversity and gene abundances and compare the taxonomic and genomic composition of microbial communities. This course is geared towards graduate students and upper-level undergraduate students across biology. We will focus on how to use software for biological analyses while touching on broader concepts of statistical algorithms. (Note: the specifics of statistical models will not be the focus.)


Prerequisites BIOMI 2900/BIOMI 2911, BIOMG 2800.

Enrollment Priority Enrollment preference given to: graduate students.

Last 1 Terms Offered 2025SP

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Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIOMI 4300

  • 3 Credits Opt NoAud

  •  3103 BIOMI 6300   LEC 001

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  • Instruction Mode: In Person

    Enrollment preference given to: graduate students. If the course is full please add yourself to the waitlist and complete the following survey: https://cornell.ca1.qualtrics.com/jfe/form/SV_2mkJ8YKtfL0EwaG.

  •  3104 BIOMI 6300   LAB 401

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  • Instruction Mode: In Person