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Subject: [ E-CFP ] CFP: BioLINK SIG 2013
From: <Paul.Thompson_(on)_manchester.ac.uk>
Date received: 22 Feb 2013
Deadline: 12 Apr 2013
Start date: 19 Jul 2013





CALL FOR PAPERS, BioLINK SIG 2013: Roles for text mining in
biomedical knowledge discovery and translational medicine
https://sites.google.com/site/biolinksig2013

Meeting of the Special Interest Group on Linking Literature,
Information and Knowledge for Biology at ISMB/ECCB 2013
http://www.iscb.org/ismbeccb2013 Berlin, Germany July 19-23, 2013

Important dates:

April 12th, 2013 Short and Full paper Submissions Due May 17th,
2013 Notifications for short and full papers May 20th, 2013
Poster abstracts due May 24th, 2013 Final paper versions due July
20th, 2013 BioLINK SIG meeting at ISMB

We solicit submissions from researchers working on all aspects of
mining text in the biological, medical and clinical domains, with
a specific emphasis on the use of text mining in the
translational medicine or precision medicine contexts.

With the increasing availability of text data related to biology
and medicine in the scientific literature, database annotations,
the electronic health record, clinical trials data, and health
information online, exciting opportunities arise to provide
access to pertinent biomedical information and to advance
biomedical knowledge. An evolving research direction is the
integration of information from diverse data sources, including
textual data, to support deeper understanding of biological
systems, the genomic basis of disease, and genotype-phenotype
relationships.

This year we aim to focus the BioLINK SIG Workshop on text-based
applications which link between biological and clinical
information. We will build on the topic of the well-attended
previous special session on data integration, but shift the focus
towards the use of text mining in applications that aim to
further biological or medical understanding. As such, we
encourage submission of papers on the following topics:

Text mining methods development

    integration of clinical text with the published literature 
   information extraction of biological and clinical information,
   with an emphasis on  recognition of phenotype descriptions in
   text  extraction of biological pathways or networks  mining
   of social media for biomedical information

We strongly encourage papers which describe applications of text
mining for:

    precision medicine  personal genomics  translational
   medicine  computational drug discovery or repositioning 
   high-throughput biological data interpretation  genetic
   variant interpretation

We will accept three types of submissions of new, previously
unpublished research. Poster abstracts will be reviewed for
relevance to the topics of the workshop; short and long papers
will be peer-reviewed. Accepted full papers will be allocated a
longer time slot than accepted short papers, with the specific
allocations to be determined.

    Full papers (maximum 7 pages, 2-column format, including
   references)  Short papers (maximum 4 pages, 2-column format,
   including references)  Poster abstracts (maximum 1 page,
   2-column format, including references)

Please use the EasyChair website to upload your paper manuscript
by 11:59pm on April 12, in the time zone of your choice:
https://www.easychair.org/conferences/?conf=biolinksig2013

Poster abstracts can be submitted to the same site, by 11:59pm on
May 13, in the time zone of your choice.

Organizing Committee

Christian Blaschke, Spanish Institute of Bioinformatics Lynette
Hirschman, MITRE Corporation Hagit Shatkay, Dept. of Computer and
Information Sciences, Center for Bioinformatics and Computational
Biology, University of Delaware Alfonso Valencia, Spanish
National Cancer Research Centre Karin Verspoor, National
Information and Communication Technology Australia (NICTA)

Program Committee

Sophia Ananiadou, University of Manchester and NACTEM Alan
Aronson, US National Library of Medicine Kevin Bretonnel Cohen,
University of Colorado School of Medicine Anna Divoli, Pingar
Research Larry Hunter, University of Colorado School of Medicine
Martin Krallinger, Spanish National Cancer Research Centre
Zhiyong Lu, US National Library of Medicine Dietrich
Rebholz-Schuhmann, University of Zurich and the European
Bioinformatics Institute Phoebe Roberts, Pfizer Luis Rocha,
Indiana University Jun'ichi Tsujii, Microsoft Research Asia John
Wilbur, US National Library of Medicine

(Please feel free to distribute; Apologies for multiple copies)

--------

Paul Thompson Research Associate School of Computer Science
National Centre for Text Mining Manchester Institute of
Biotechnology University of Manchester 131 Princess Street
Manchester M1 7DN UK Tel: 0161 306 3091
http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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