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
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We will accept three types of submissions of new, previously unpublished research.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.
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)
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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