PSB 2021
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List of all ratings can be found at PSB 2021/rating
| PSB 2021 | |
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26th Pacific Symposium on Biocomputing
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| Event in series | PSB |
| Dates | 2021-01-03 (iCal) - 2021-01-07 |
| Homepage: | http://psb.stanford.edu/ |
| Twitter account: | @PacSymBiocomp |
| Submitting link: | http://psb.wufoo.com/forms/psb-paper-submission/ |
| Location | |
| Location: | Big Island of Hawaii, US/HI, US |
| Important dates | |
| Workshops: | 2020/02/10 |
| Abstracts: | 2020/11/15 |
| Papers: | 2020/08/03 |
| Submissions: | 2020/08/03 |
| Notification: | 2020/09/14 |
| Camera ready due: | 2020/10/01 |
| Committees | |
| General chairs: | Tiffany Murray |
| Table of Contents | |
| Tweets by @PacSymBiocomp| colspan="2" style="padding-top: 2px; " | | |
The twenty-six Pacific Symposium on Biocomputing (PSB), will be held January 3-7, 2021 at the Fairmont Orchid on the Big Island of Hawaii. PSB will bring together top researchers from North America, the Asian Pacific nations, Europe and around the world to exchange research results and address open issues in all aspects of computational biology. PSB will provide a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. PSB intends to attract a balanced combination of computer scientists and biologists, presenting significant original research, demonstrating computer systems, and facilitating formal and informal discussions on topics of importance to computational biology.
To provide focus for the very broad area of biological computing, PSB is organized into a series of specific sessions. Each session will involve both formal research presentations and open discussion groups.
- Advanced Methods for Big Data Analytics in Women's Health
- Achieving Trustworthy Biomedical Data
- Pattern Recognition in Biomedical Data for Discovery
- What about the environment? Leveraging multi-omic datasets to characterize the environment’s role in human health
- Biocomputing and AI for infectious disease modelling and therapeutics
- Computational Challenges and Artificial Intelligence in Precision Medicine