Pushing the boundaries of genomic technology development, MCB faculty study the organization of genes into genomes and how these systems evolve, ranging from classic genetic and developmental models all the way to complex human diseases.
Area Directors help advise students about classes and rotations in their interest area. They also provide a listing of suggested courses for those interested in Genetics, Genomics & Evolution.
Faculty Area Directors
- Kelley Harris (email@example.com)
- Michael Metzger (firstname.lastname@example.org)
Student Area Directors
- Lews Caro (email@example.com)
- Jeremy Hollis (firstname.lastname@example.org)
The suggested curriculum outlined below is meant to guide you in choosing classes, they are not requirements. We highly encourage you to take the Foundational courses, while the Electives are more specialized and often cross between Areas of Interest. Remember to review the UW Time Schedule for the most accurate and up-to-date information regarding whether a course is currently being offered.
2022-2023 Suggested Curriculum (document download)
GENOME 553 – Advanced Genetic Analysis
Explores genetic analysis as a powerful approach for dissecting complex biological processes. Covers how scientists use selective removal, addition, or alteration of specific proteins to: identify and order genes in a pathway; define protein function; determine tissue, temporal, and sub-cellular requirements for activity; and distinguish among competing hypotheses to explain biological phenomena.
Offered SPR, 1.5 credits, Weeks 1-10
GENOME 561 – Molecular Population Genetics and Evolution
Surveys recent literature to gain an understanding of the basic principles of molecular population genetics and evolution as applied to analysis of genome data. Requires some computer analysis of genome data.
Offered WIN, 1.5 credits, Weeks 1-5
MCB 536 – Tools for Computational Biology
Introduction to established best practices in computational biology. Learn to organize unstructured data into standard formats, transform data for statistical analyses, and visualize the transformed data. Learn workflows for reproducible research such as version control, project organization, and code documentation. Gain basic experience with Linux command line tools and the Python and R programming languages. Classes will involve hands-on learning through coding exercises, collaborative problem solving, and extensive use of online learning resources.
Offered AUT, 3.0 credits, Offered every year
BIOST 545 – Biostatistical Methods for Big Omics Data
This “hands-on” course introduces statistical methods for high-dimensional omics data, as well as the R programming language and the Bioconductor project as tools to extract, query, integrate, visualize, and analyze real world omics data sets.
4.0 credits, Course is not currently being offered
CONJ 537 – Mechanism Of Transcriptional Regulation
A five-week graduate survey course concentrating on biochemical mechanisms of gene transcription. The course will cover a broad range of transcriptional regulation including: Mechanisms of transcriptional initiation; Regulation of transcription by chromatin; Transcriptional regulation, development and diseases in mammals.
Offered AUT, 1.5 credits, Weeks 6-10, Offered even-numbered years
CONJ 549 – Principles of ecology and evolution as they apply to microorganisms
Principles of ecology and evolution as they apply to microorganisms.
Offered SPR, 1.5 credits, Offered even-numbered years
CONJ 557 – Microbial Evolution
The goal of the course is to provide students with knowledge and tools most useful for successful research in human genomics. Components of the course are: gene discovery and molecular function; genomic architecture; cancer genetics; and human diversity and evolution. The course meets winter quarter, with three lectures per week by the instructors and weekly section meetings. Multiple problem sets are based on real data. GENOM 361 or 371 is a prerequisite; for genetics courses taken elsewhere, please ask the instructors. The class typically includes about 40 students.
Offered AUT/SPR, 2.0 credits, Weeks 1-5, Typically offered every year, Course not currently being offered
GENOME 551 – Principles of Gene Regulation
A detailed examination of the mechanisms of transcription and translation as determined by experimental genetics, molecular biology, and biochemistry.
Offered WIN, 1.5 credits, Weeks 6-10, Will be offered in WIN 2023
GENOME 552 – Technologies For Genome Analysis
Discussion of current and newly-emerging technologies in genome analysis with regard to applications in biology and medicine and to potential advantages and limitations.
Offered AUT, 1.5 credits, Weeks 6-10
GENOME 559 – Introduction To Statistical And Computational Genomics
Rudiments of statistical and computational genomics. Emphasis on basic probability and statistics, introduction to computer programming, and relevant web databases.
Offered WIN, 3.0 credits, Weeks 1-10
GENOME 562 – Population Genetics
Mathematical and experimental approaches to the genetics of natural populations, especially as they relate to evolution. Emphasis on theoretical population genetics.
Offered WIN, 4.0 credits, Weeks 1-10, Typically offered in odd-numbered years, Will likely be offered in WIN 2024
GENOME 565 – Advanced Human Genetics
The goal of the course is to provide students with knowledge and tools most useful for successful research in human genomics. Components of the course are: gene discovery and molecular function; genomic architecture; cancer genetics; and human diversity and evolution. The course meets winter quarter, with three lectures per week by the instructors and weekly section meetings. Multiple problem sets are based on real data. GENOME 372 is a pre-requisite; for genetics courses taken elsewhere, please ask the instructors. The class typically includes about 60 students, including both undergraduate and graduate students.
Offered WIN, 4.0 credits, Weeks 1-10
GENOME 569 – Bioinformatics Workflows for High-Throughput Sequencing Experiments
Programming skills and software tools for building automated bioinformatics pipelines and computational biology analyses. Emphasis on UNIX tools and R libraries for distilling raw sequencing data into interpretable results. For students familiar with UNIX and with some programming experience in Python, R, or C/C++.
Offered SPR, 1.5 credits, Weeks 1-5, Will be offered in SPR 2023
From understanding the genetic basis of familial breast cancer risk to understanding the genetic conflicts between host and pathogen genomes, MCB Seattle faculty push the boundaries of understanding all aspects of genome biology. The University of Washington ranks #7 in Molecular Biology and Genetics graduate studies according to US News and World Report.