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Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.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. |