Concepts in Genome Analysis

This course focuses on quantitative aspects of genetics and genomics. induding computational and statistical methods of genomic analysis. We will introduce basic concepts and discuss recent progress in population and evolutionary genetics and cover principles of statistical genetics of Mendelian and complex traits. We will then introduce current genomic technologies and key algorithms in computational biology and bioinformatics. We will discuss applications of these algorithms to genome annotation and analysis of epigenomics. cancer genomics and metagenomics data. Proficiency in programming and basic knowledge of genetics and statistics will be assumed.

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Shamil Sunyaev

Shamil Sunyaev, PhD

Professor of Biomedical Informatics, Harvard Medical School
Professor of Medicine, Brigham and Women’s Hospital

Sunyaev Lab

Michael Baym, PhD

Michael Baym, PhD

Associate Professor of Biomedical Informatics

Baym Lab

Heng Li, Ph.D.

Heng Li, PhD

Associate Professor of Biomedical Informatics, Dana-Farber Cancer Institute and Harvard Medical School

HLi Lab