PSB 2021 : Pacific Symposium on Biocomputing

  in Conferences   Posted on June 1, 2020

Conference Information

Submission Deadline Monday 03 Aug 2020 Proceedings indexed by :
Conference Dates Jan 3, 2021 - Jan 7, 2021
Conference Address Big Island of Hawaii, United States
Conference & Submission Link https://psb.stanford.edu/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.48
#Contributing Top Scientists 10
#Papers published by Top Scientists 20
Google Scholar H5-index 25
Number of Editions: 25 (Since 1996)
Guide2Research Overall Ranking: 335
Category Rankings
Biomedical & Medical Informatics 17
Computational Theory and Mathematics 30
DBLP Page https://dblp.uni-trier.de/db/conf/psb

Conference Call for Papers

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

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