We identify cutting-edge computational technologies for genomics research with the potential for broad impact across the IGB’s diverse scientific portfolio. We then develop targeted cross-disciplinary programs to help spark new ideas by lowering barriers to experimentation. Working closely with other IGB offices, we implement infrastructure, provide training, establish community, and seed cross-disciplinary collaborations to enable IGB scientists to explore, apply, and advance these new technologies to accelerate discovery and open up new avenues of research.
Resources
The Computational Genomics group identifies and advances transformative computational technologies for genomics research across the IGB.
Current Projects
AI and Genomics
Powerful artificial intelligence tools are opening new doors for genomics research. We are establishing the following programs to accelerate AI at the IGB.
Infrastructure
We are working with the IGB's Computer and Network Resource Group to deploy popular AI tools on Biocluster, along with tutorials for their use. Search the Biocluster Wiki to see if a tool has been deployed, or contact us with requests. Our goal is to enable researchers to quickly experiment with a curated set of useful computational methods.
Training
- Hands-on AI for Science
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In partnership with the Beckman Institute for Advanced Science and Technology, we offered a 3-day introductory workshop designed to provide hands-on experience in getting started with Artificial Intelligence (AI). The program featured practical exercises and real-world examples, with a special focus on applications relevant to a wide range of biological problems.
Community
We maintain an email list for scientists across the University interested in AI for science research.
Join the ai4science mailing list
- AI + Science Trainees
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The AI+Science seminar series aims to bridge the gap between the realms of machine learning and various areas of science. Tailored for graduate students and postdocs, this series aims to cultivate a collaborative environment where traditional science intersects with AI. Our seminars serve as a unique space for fostering interdisciplinary dialogue, encouraging knowledge exchange, and igniting potential collaborations.
- AI Tools for Basic Science Workshop
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In partnership with the Beckman Institute for Advanced Science and Technology, we held an initial workshop in January 2024 on AI in basic science research that was attended by over 70 faculty from across 29 departments, institutes, and schools.
Collaboration
- AI for Science Research Accelerator
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Coming soon.
Previous Projects
- Spatial Omics Initiative
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Spatial omics technologies can provide spatially resolved high-throughput genomic information in intact tissues and samples. The Spatial Omics Initiative aims to advance research in this area at the University of Illinois.
- Computational Microbial Genomics Working Group
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New complex questions in microbial function and ecology are stretching the limits of existing computational analytical tools. The Microbial Genomics Working Group aims to bring together microbiologists and computational scientists to address this gap.
- Spring 2024
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The focus this semester will be on pan-genomics-type methods for handling the extreme diversity of microbial genomes. Trainees are encouraged to attend, give talks, meet other trainees from different backgrounds, and help kickstart collaborations!
Meetings will be in IGB 612 from 12 pm - 1 pm, lunch provided, on the following Fridays:
January 19, 2024: Introduction; slides, recording, and notes
February 16, 2024: Chris Fields, slides and recording
March 29, 2024: Ilan Shomorony, recording
April 26, 2024: Rachel Whitaker - Fall 2023
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August 28, 2023: introductory slides and recording
September 25, 2023: discussion on methods in the microbiome field led by Chris Gaulke, recording
October 26, 2023 (Thursday): computational work in immunology led by Yiquan Wang of the Wu lab
November 27, 2023: discussion of this paper on mapping and analysis of short-read data with David Vereau and the Heath Lab
Contact
Sihai Dave Zhao
Director, Computational Genomics
GNDP | Computational Genomics
sdzhao@illinois.edu
(217) 333-2167