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Data Science CoLab

About the Data Science CoLab

The Data Science CoLab is a collaboration-based research lab with a focus on systems immunology and computational methods development. Our research centers on understanding patient immune state using single-cell methods, primarily CyTOF and single-cell sequencing, in a variety of contexts including infection, cancer, and at steady-state. We also study the interactions between the immune system and the microbiome at the systems level. We facilitate close collaborations between experimental and computational biologists and provide tools and training for biologists who want to better engage with their data.

Recent Publications

Authors: Monique G P van der Wijst, Sara E Vazquez, George C Hartoularos, Paul Bastard, Tianna Grant, Raymund Bueno, David S Lee, John R Greenland, Yang Sun, Richard Perez, Anton Ogorodnikov, Alyssa Ward, Sabrina A Mann, Kara L Lynch, Cassandra Yun, Diane V Havlir, Gabriel Chamie, Carina Marquez, Bryan Greenhouse, Michail S Lionakis, Philip J Norris, Larry J Dumont, Kathleen Kelly, Peng Zhang, Qian Zhang, Adrian Gervais, Tom Le Voyer, Alexander Whatley, Yichen Si, Ashley Byrne, Alexis J Combes, Arjun Arkal Rao, Yun S Song, Gabriela K Fragiadakis, Kirsten Kangelaris, Carolyn S Calfee, David J Erle, Carolyn Hendrickson, Matthew F Krummel, Prescott G Woodruff, Charles R Langelier, Jean-Laurent Casanova, Joseph L Derisi, Mark S Anderson, Chun Jimmie Ye, UCSF COMET consortium
September 2021

Learn about CoProjects, Incubators, and Plug-in Labs

CoProjects are a series of shared projects designed to integrate our community through common pipelines and data curation. CoLabs CoProjects aim to build immune profiles for untapped streams of human diseases at UCSF.