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DTMBIO 09, Deadline:June 30, 2009 ȣ

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Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.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