From Benchtop to Desktop

New computational biology curricula marries wet lab and computational power to solve mysteries of genetics and more.
Wiggle Room

Understanding Helicobacter pylori shape with computational mapping

Computational Biology

Computational biology combines the power of modern computing and mathematical modeling with biological research to study how systems behave, evolve and adapt. Both UW and Fred Hutch are home to some of the country's top computational biology labs, pushing the boundaries of traditional benchwork in genetics, virology, microbiology and beyond.

Suggested Courses

Autumn

MCB 536
Tools for Computational Biology

STAT 509
Econometrics I: Introduction to Mathematical Statistics

winter

GS 540
Introduction to Computational Molecular Biology: Genome and Protein Sequence Analysis

GENOME 559
Introduction to Statistical and Computational Genomics

STAT 513
Statistical Inference

spring

GS 541
Introduction to Computational Molecular Biology: Molecular Evolution

A view of the new Molecular Engineering and Sciences building on campus. The basement is the largest vibration-free lab on the West Coast!

MCB Data Science Option

The MCB Data Science Option will provide interested students within the program with specific training in the fundamentals of Data Science methods and applications. For more information, visit https://mcb-seattle.edu/mcb-data-science-option/ .

Area Of interest Faculty

Featured Research

Area Directors & Suggested Courses

Faculty Area Directors: Jesse Bloom, Cole Trapnell

Student Area Directors: Katharine Chen, Lucian DiPeso, Maggie Russell

Suggested Courses: 2021-2022 suggested courses

Lab Openings

Stergachis Lab:
All Quarters, Permanent Position

Epigenetics, Human Disease, Gene Regulation, Clinical Genomics

Feder Lab:
All Quarters, Permanent Position

Evolution, HIV, Cancer, Viruses, Drug resistance, Dynamics

Berger Lab:
All Quarters, Permanent Position

Cancer functional genomics

Aitchison Lab:
All Quarters, Permanent Position

systems cell biology, host-pathogen interactions, infectious diseases

Nourmohammad Lab:
All Quarters, Permanent Position

adaptive immune system, computational immunology, population genetics, immune-pathogen coevolution, gene expression, machine learning, stochastic processes, control theory

Beliveau Lab:
All Quarters, Permanent Position

Chromosomes, imaging technologies

Carvalho Lab:
All Quarters, Permanent Position

Structural Variation, Mendelian Diseases, Complex Rearrangements, Inversions, Robinow Syndrome, Genomic Disorders

Trapnell Lab:
Permanent Position

Single cell genomics, development, gene regulation, chromatin

Blanco-Melo Lab:
Spring, Summer, Permanent Position

Innate immunity, Bioinformatics, Paleovirology

Warren Lab:
Spring, Winter, Permanent Position

renal cell carcinoma, lymphoma, kaposii sarcoma, cancer immunotherapy, global oncology

Matsen Lab:
All Quarters, Permanent Position

adaptive immune receptors, phylogenetics, evolution

Newell Lab:
All Quarters, Permanent Position

Human Immunology, T cell, antigen-specificity, mass cytometry, high dimensional single cell analysis

Bhardwaj Lab:
All Quarters, Permanent Position

Computational Design, High-throughput synthesis and Screening, Drug Discovery

Ha Lab:
All Quarters, Permanent Position

Cancer genomics, liquid biopsies, machine learning, tumor evolution, copy number alterations, structural variation, circulating tumor DNA

Gujral Lab:
All Quarters, Permanent Position

Systems Biology or Tumor microenvironment or Metastasis or Wnt pathway or Kinase signaling Hippo pathway

Harris Lab:
Autumn, Permanent Position

population genetics, evolution, mutation rate, mutation spectra, demographic history

Bielas Lab:
All Quarters, Permanent Position

Bloom Lab:
All Quarters, Permanent Position

Computational Biology

Cohn Lab:
All Quarters, Permanent Position

HIV, Latent reservoir, HIV latency, CD4+ T cells

MacCoss Lab:
All Quarters, Permanent Position

proteomics, protein biochemistry, bioinformatics, technology development, big data, quantitative analysis, model organisms, aging, Alzheimer's disease, mass spectrometry