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DTMBIO 09, Deadline:June 30, 2009 ȣ
  2009-04-11

ACM Third International Workshop on Data and Text Mining in Bioinformatics (DTMBIO), November 6, 2009


In conjunction with ACM 18th Conference on Information and Knowledge


Management (CIKM) Hong Kong, China, November 2-6, 2009


A fundamental issue that biological researchers encounter today is how to make effective use of the enormous amount of electronic biomedical data to improve their understanding of complex biological systems. The biomedical data repositories are formed from various ways such as bibliographic information from electronic biomedical journals, gene expression data from microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by multitudes of various genome projects, and SNP data from high-throughput SNP arrays. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous unstructured data remains a challenging task.


 


The 3rd CIKM Workshop of Data and Text Mining in Bioinformatics (DTMBIO) will provide a forum for investigators to present the latest data mining research in bioinformatics research. We encourage papers that propose novel data mining techniques for tasks such as:


 


Topic of Interests


 


The relevant topics include the following (but not limited to):


Proposal and assessment of novel text mining (TM) solutions


Information extraction from scientific papers


Information retrieval for large data collections


Gene sequence annotation


Protein/RNA structure prediction


Gene expression analysis


Sequence and structural motifs


Modeling of biochemical pathways and biological networks


TM dealing with large and distributed data sets


Image mining in bioinformatics


Full-text mining in bioinformatics


Data and text mining solutions for drug development, and systems biology


Information integration for data and text mining


Mining multi-relational data


 



 


Submission Guidelines


 


Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted electronically, in the PDF format and formatted using the ACM camera-ready templates.


 


Papers cannot exceed 8 pages in length. See the workshop website


 


http://biosoft.kaist.ac.kr/ dtmbio2009 for information about web submission and workshop program.


 


Selected papers will be invited for a special issue of BMC Bioinformatics.


Technology Track


Technology Track is a session for researchers or organizations to present their software and/or hardware related with the aforementioned topics of interest. Submission requires only one page presentation overview in PDF format. The schedule for technology track papers is the same as those of regular session papers. Excellent technology track papers will be awarded separately from regular session papers.


 


Workshop Chairs


Doheon Lee (KAIST, Korea), Russ Altman (Stanford Univ., USA)


Program Chairs


Min Song (NJIT, USA), Jun Huan (Univ. of Kansas, USA)


Technology Track Chair


Chulmin Kim (Pusan Medical School, Korea)


Publicity Chairs:


Eunjung Lee (KAIST, Korea), Henry Lau (Unv. of Hong Kong, China)


Important Dates (tentative)


Submission deadline, June 30, 2009


Notification of acceptance, Aug. 1, 2009


Camera-ready deadline, Aug. 15, 2009


Workshop, Nov. 6, 2009



Program Committee


Tatsuya Akutsu Kyoto University, Japan


Christian Blaschke Centro Nacional de Biotecnologia, Spain


Nigel Collier National Institute for Informatics, Japan


Xiaohua Hu Drexel University, USA



Sun Kim Indiana University, USA


Dongsup Kim KAIST, Korea


Henry Lau University of Hong Kong, China


Insuk Lee Yonsei University, Korea


KiYoung Lee Ajou University, USA


Hyunju Lee GIST, Korea


Ulf Leser Humboldt-Universität zu Berlin, Germany


Chen Li University of California, Irvine, USA


Tao Li Florida International University, USA


Hongfang Liu Georgetown University, USA


Xiangjun Liu Tsinghua University, China


Predrag Radivojac Indiana University, USA


Taewoo Ryu KRIBB, Korea


Vijay Shanker University of Delaware, USA


Manabu Torii Georgetown University, USA


Jay Urbain Illinois Institute of Technology, USA


Alfonso Valencia Nacional de Biotechnologia, Spain


Jason T. L. Wang New Jersey Institute of Technology, USA


Brook Wu New Jersey Institute of Technology, USA


Jinbo Xu Toyota Technological Institute at Chicago, USA


Alexander Yates Temple University, USA


Jieping Ye Arizona State University, USA


Sungroh Yoon Korea University, Korea



Goals and Intended Audience


 


In order to build text mining systems that contribute to our understanding of biological systems, solutions to the above problems have to be assembled into efficient and scalable systems. The workshop aims at facilitating this process, and at enhancing the exchange of knowledge between computational biologists and knowledge discovery researchers. Accordingly, our intended audiences are both computational biologists and text mining researchers.

ICITST-2009 (Abstract Deadline: April 30, 2009) 2009-04-16
MONAMI 2009, Daedline: 30 April, 2009 2009-04-11