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Viral immunologist taps ‘incredible potential’ of immune system
Dr. Paul Thomas will combine computational and empirical approaches to understand the immune repertoire and turn this knowledge into new diagnostic and therapeutic tools
New cell segmentation methods for better spatial transcriptomics
From the Newell Lab, Vaccine and Infectious Disease Division
Looking beyond suspect genes in cancer
Fred Hutch is among 10 institutions in the U.S., the U.K. and Europe collaborating to find the function of every protein-coding gene in the human genome
Fred Hutch receives $2M gift to endow the Bob and Pat Herbold Computational Biology Chair for the Herbold Computational Biology Program
Establishment of new chair will drive innovations in cancer research
A method to predict how a virus might spread through a population
From the Bedford Lab, Vaccine and Infectious Disease Division
Targeted new approach and computational tools reveal lung cancer subtypes hiding in patterns in cell-free DNA
Innovative strategy a step toward liquid biopsy to detect, monitor aggressive small cell lung cancer
Mellon, a single-cell analysis tool, identifies transitory cells and differentiation mechanisms
From the Setty Lab, Basic Sciences Division
Computational method identifies genetic drivers of microbiome diversity
From the Wu Group, Public Health Sciences Division
Melding data creates wider landscape of brain cancer
New computational visualization tool allows researchers to compare different tumor types, normal brain tissue, pinpoint cancer-promoting alterations
New computational tools widen horizons for liquid biopsies
Methods allow scientists to use gene regulation patterns to detect cancer subtype in cell-free DNA
Computational kinetic modeling informs on uORF buffering activity
From the Geballe and Subramaniam labs, Human Biology and Basic Sciences Divisions
Dr. Anat Zimmer receives AAUW fellowship
Fred Hutch computational biologist who relocated from Israel will receive support while investigating cancer genomics
Gone but not lost: a computational method to infer missing data measurements
From Tal Einav of the Bloom Lab, Basic Sciences Division
Enhance, enhance! Computational tool “BayesSpace” zooms in to fine-map spatial transcriptomics
From the Gottardo, Bielas, and Nghiem Labs, Biostatistics and Computational Biology Program, Cancer Consortium
Improving computational protein design for real-world applications
From the Stoddard Lab, Basic Sciences Division, and the Bradley Lab, Public Health Sciences Division
Dr. Jeffrey Leek named VP and Chief Data Officer
New leader aims to build on computational and data resources, speed development of top biomedical research data enterprise
Hopes and predictions for 2022
Hutch researchers look ahead to an increase in cancer screening, improved vaccines and greater trust in science
Highlights of Fred Hutch science in 2021
From COVID-19 to cancer, Hutch scientists pursued new ideas to save lives
New computational method opens window into immune cell behavior
Approach links T-cell receptor genes to T-cell activity and function at single-cell resolution
New regional collaborations will accelerate innovation in data-intensive medical science
Three research teams in Washington, Oregon and British Columbia receive pilot funding from Cascadia Data Alliance