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Bioinformatics & Computational Biology Program Courses

The courses listed below include required courses of the core curriculum, research and milestone courses, as well as program specific advanced topics, seminars, journal clubs and tutorials for specialization in Bioinformatics & Computational Biology.

  • Molecular Evolution | BBS 705

    Programs: Bioinformatics & Computational Biology

    The course will focus on the quantitative study of molecular evolution using sequence and structural data, showing how both classical and novel methods in population genetics, bioinformatics and computational biology can be used to assess the variability in the genomic sequences and make inferences about the underlying processes of natural selection and evolution. The course is primarily aimed at the students interested in quantitative aspects of biology, and may be useful to practicing biologists desiring a deeper understanding of the computational and statistical techniques. 

    Course Director: Bioinformatics & Computational Biology Faculty

    Semester Offered: Spring

    Last Taught: Spring 2016

  • An Empirical Introduction to Statistical Modeling | BBS 706

    Programs: Bioinformatics & Computational Biology

    Lecture and textbook based course on statistical modeling and machine learning, with exercises on analyzing real data.

    Course DirectorManuel Garber

    Semester Offered: Fall, odd years

    Last Taught: Fall 2019

  • Advanced Topics in Bioinformatics | BBS 741

    Programs: Biochemistry & Molecular Pharmacology, Bioinformatics & Computational Biology

    The Advanced Topics in Bioinformatics course covers several important areas of modern bioinformatics and computational biology. The course is aimed not only at students specializing in bioinformatics, but also general biology students who would like to utilize bioinformatics tools in their daily research. The course will begin with an overview of modern sources of bioinformatics data, especially high-throughput sequencing data (RNA-seq, ChIP-seq, DNase-seq, ATAC-seq, Whole genome bisulfite sequencing, etc.), followed by a thorough presentation of an extensive set of statistical learning and machine learning algorithms and their application to analyzing biological data. The course will include 10 lectures each with a homework set, followed by individual or group projects, presented in lieu of the final exam. 

    Course Director: Zhiping Weng

    Semester Offered: Fall, Even Years

    Last Taught: Fall 2020

  • Systems and Computational Biology | BBS 764

    Programs: Bioinformatics & Computational Biology, Interdisciplinary

    This is a lecture and paper-discussion based course covering a broad range of topics in Systems Biology and Computational biology. 

    Course Director: Marian Walhout

    Semester Offered: Spring

    Last Taught: Spring 2020

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