PSB Workshops

Pacific Symposium on Biocomputing

Big Island of Hawaii -- January 3-7, 2019

PSB 2019 will not be affected by the volcanic activity on the Big Island. Please rest assured that there are no circumstances under which we would not accept paper submissions, review them and publish the accepted papers. Click here for more information about the volcanic activity on the Big Island.

PSB is offering four workshops during the meeting (exact dates to be determined). These workshops were created to provide an opportunity for a gathering that will not be based on peer-reviewed papers included in the proceedings book. The workshops will consist of presentations by invited speakers. Abstract submissions for the workshops will be evaluated by the workshop co-chairs.

Each workshop has a chair who is responsible for organizing submissions. Please contact the specific session chair relevant to your interests for further information. Links on each of the session titles below lead to more detailed calls for participation.

Merging Heterogeneous Data to Enable Knowledge Discovery

Organizers: Tina Hernandez-Boussard, Michael Kahn

The digitalization of high value information is generating measurements on dynamic processes, interactions, and systems that cross multiple orders of magnitude. We are beginning to see innovative results that have emerged by linking, integrating, and harmonizing such data and knowledge across previously independent data and knowledge sources. For this workshop we invite submissions that will highlight new results linking and integrating data and knowledge across heterogeneous sources (e.g. electronic medical records, geo-code data, genetic information, social media).

Contact: Tina Hernandez-Boussard
Email: boussard at stanford dot edu


Reading between the genes: Interpreting noncoding DNA in high throughput

Organizers: Yves A. Lussier, Maricel G. Kann, Jason H. Moore, Martha L. Bulyk, Francesca Vitali, Joanne Berghout

Identifying functional elements and predicting mechanistic insight from noncoding DNA and noncoding variation remains a challenge. But, advances in genome scale, high-throughput technology and large-scale projects have brought these answers closer within reach than ever, though they require new computational approaches to analysis and integration. This session aims to explore these resources and new computational methods applied to regulatory elements, chromatin interactions, non-coding genes, and other noncoding DNA.

Contact: Joanne Berghout
Email: jberghout at email dot arizona dot edu


Text Mining and Machine Learning for Precision Medicine

Organizers: Graciela Gonzalez, Hongfang Liu, Zhiyong Lu, Robert Leaman

This 3-hour workshop features an invited panel of experts and individual presentations of published and ongoing efforts by informatics researchers, bench scientists and clinicians that are actively collaborating for the deployment of integrative approaches in precision medicine that incorporate text mining and/or machine learning.

The workshop is a forum to present recent work in this area recently published at other venues, or advances on funded research for dissemination, and an opportunity to discuss challenges and opportunities with other PSB attendees. Invited talks will be competitively selected from submitted abstracts.

Contact: Graciela Gonzalez
Email: gragon AT pennmedicine DOT upenn DOT edu


Translational informatics of population Health: How large biomolecular and clinical datasets unite

Organizers: Yves A. Lussier, Atul Butte, Jason H. Moore, Rong Chen, Haiquan Li

The field of population health is rapidly moving to the forefront of research, with the advancement of biotechnologies and growth of international collaborations enabling the vast accumulation of population health data. The availability of such data crossing multiple dimensions, from electronic health records, lifestyles, environmental factors, genetics, to genomics, is promising for further advancing the field via translational bioinformatics. This workshop will address how multiscale data fusion and integrative analytics are applicable across translational bioinformatics and population health as well as how population science data can be reversely translated.

Contact: Colleen Kenost
Email: ckenost at email dot arizona dot edu