PSB 2018 : Pacific Symposium on Biocomputing

  in Conferences   Posted on August 4, 2017

Conference Information

Submission Deadline Tuesday 01 Aug 2017
Conference & Submission Link https://psb.stanford.edu/
Conference Dates Jan 3, 2018 - Jan 7, 2018
Conference Address Big Island of Hawaii, United States
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 18
CORE 2017 Rating: C
Guide2Research Overall Ranking: 266
Category Rankings
Biomedical & Medical Informatics 9
Computational Theory and Mathematics 28

Conference Call for Papers

Call For Papers, Abstracts and Demonstrations
Pacific Symposium on Biocomputing
Big Island of Hawaii January 3-7, 2018

The twenty-third Pacific Symposium on Biocomputing (PSB), will be held January 3-7, 2018 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.

Applications of Genetics, Genomics and Bioinformatics in Drug Discovery
Challenges of Pattern Recognition in Biomedical Data
Democratizing Health Data for Translational Research
Imaging Genomics
Precision Medicine: from diplotypes to disparities towards improved health and therapies
Reading Between the Genes: Computational Models to Discover Function and/or Clinical Utility from Noncoding DNA
Text Mining and Visualization for Precision Medicine

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