PSB 2021

Deadlines

2020-09-14

2020-11-15

2020-08-03

2020-10-01

2020-02-10

2020-08-03

10 Feb 2020

Workshop

3 Aug 2020

Paper

3 Aug 2020

Submission

14 Sep 2020

Notification

1 Oct 2020

Camera-Ready

15 Nov 2020

Abstract

Venue

Big Island of Hawaii, Hawaii, United States of America

Loading map...

{"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"auto","height":"350px","centre":false,"title":"","label":"","icon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"image layers":[],"overlays":[],"resizable":false,"fullscreen":false,"scrollwheelzoom":true,"cluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","clicktarget":"","imageLayers":[],"locations":[],"imageoverlays":null}

Warning: Venue is missing. The map might not show the exact location.

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