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Welcome to the 2024 Computational Genomics course! The primary focus of this course is the theory and practice of algorithms in computational biology, with the dual goals of using current methods more effectively for biological discovery and developing new algorithms. This page lists the daily schedule, helpful links, and instructor info. This information will be used throughout the course and updated frequently, so please bookmark this page.


Schedule


Group Photo

CSHL 2024 Computational Genomics


Instructors

David Hawkins
David Hawkins, PhD

Associate Professor
University of Washington
Department of Genome Sciences

Lauren Mills
Lauren Mills, PhD

Computational Biologist
University of Minnesota
Department of Pediatrics


Danny Miller
Danny Miller, MD, PhD

Assistant Professor
University of Washington
Departments of Pediatrics and Laboratory Medicine & Pathology

William Pearson
William Pearson, PhD

Professor
University of Virginia
Department of Biochemistry and Molecular Genetics

Mary O'Neill
Mary O'Neill, PhD

Director, Single Cell Genomics
University of Washington
Brotman Baty Institute for Precision Medicine

Erik Garrison
Erik Garrison, PhD

Associate Professor
University of Tennessee
Department of Genetics, Genomics & Informatics

Casey Gifford
Casey Gifford, PhD

Assistant Professor
Stanford University
Departments of Genetics and Pediatrics (Cardiology)

Nikhita
Nikhita Damaraju, MS

Graduate Student
University of Washington
Institute for Public Health Genetics

Sophie
Sophie Gibson

Graduate Student
University of Washington
Department of Genome Sciences

Gus
Jonas (Gus) Gustafson

Graduate Student
University of Washington
Molecular & Celluar Biology

Gabriel
Gabriel Beuchat

Research Scientist
University of Washington
Department of Genome Sciences

Anh
Anh Vo

Genomic Data Analyst
University of Washington
Brotman Baty Institute for Precision Medicine


Tutorials

Additional analysis tools via the Galaxy Training Network