|
The rapid development of bioinformatics techniques is leading to innovations in various fields in computer science including data mining, text mining, information retrieval, and database management, among others. A fundamental issue presented in bioinformatics research is how to make effective use of the enormous amount of biological and biomedical data to improve the understanding of biological systems. Such data include but not limited to the gene expression profiles from Microarray experiments, protein sequences and structures from high-throughput sequence and structure determination methods, protein-protein interactions from proteomic study, Single Nucleotide Polymorphisms from SNP arrays, and bibliographic information from electronic medical journals. The ability to automatically and effectively extract, understand, integrate, and make use of information embedded in such heterogeneous semi-structured or unstructured data characterizes the state of the bioinformatics field.
The 2nd CIKM workshop of Data and Text Mining Methods 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: See the workshop website at http://web.njit.edu/~song/dtmbio2008/home.html for information about the workshop. Topic of Interests: The relevant topics include the following (but not limited to):
· Proposal and assessment of novel Data and Text Mining 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, system biology, biomedical working processes · Information integration for Data and Text Mining · Mining multi-relational data
Important Dates: * Full paper due: July 20, 2008 * Notification of Acceptance: August 3, 2008 * Camera ready: August 13, 2008
Paper Submissions: Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.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 PDF format and formatted using the ACM camera-ready templates.
Papers cannot exceed 8 pages in length. All papers (in PDF format) should be submitted to: http://www.easychair.org/conferences/?conf=dtmbio08 Selected papers will be invited for a special issue of BMC Bioinformatics.
Workshop Chairs: Min Song, New Jersey Institute of Technology, USA Luke Huan, University of Kansas, USA Doheon Lee, KAIST, Korea
Program Committee: Tatsuya Akutsu, Kyoto University, Japan Christian Blaschke, Bioalma, Spain Lynette Hirschman, MITRE, USA Hui-Huang Hsu, Tamkang University, Taiwan Xiaohua Hu, Drexel University, USA Sungwon Jung, TGen, USA Jeongja Kim, Chonbuk National University, Korea Sun Kim, Indiana University, USA Young Joo Kim, KRIBB, Korea KiYoung Lee, UCSD, USA Tao Li, Florida International University, USA Li Liao, University of Delaware, USA Hongfang Liu, Georgetown University, USA Martin Middendorf, University of Leipzig, Germany Zoran Obradovic, Temple University, USA Taewoo Ryu, KRIBB, Korea Sourav S Bhowmick, Nanyang Technological University, Singapore Burr Settles, University of Wisconsin, USA Mona Singh, Princeton University, USA Manabu Torii, Georgetown University, USA Alfonso Valencia, Spanish National Cancer Research Centre, Spain Jason Wang, New Jersey Institute of Technology, USA Brook Wu, New Jersey Institute of Technology, USA Alexander Yates, Temple University, USA Jieping Ye, Arizona State University, USA Illhoi Yoo, University of Missouri-Columbia, USA
|
RSS 2.0 Feed