6th SIGKDD Workshop on 
Data Mining in Bioinformatics
 
Key Dates
Submission: 12 June, 2006
Notification: 10 July. 2006
Camera-ready: 17 July 2006
Workshop: 20 August, 2006
Workshop Organizers
General Chair:
Mohammed Zaki, Rensselaer Polytechnic Institute
Program Chairs:
George Karypis, University of Minnesota
Jiong Yang, Case Western Reserve University
Program Committee
Tatsuya Akutsu, Kyoto University
Chris Bailey-Kellogg, Dartmouth College
Mehmet Dalkilic, Indiana University
Yuan Gao, Harvard University
Shin Ishii, Nara Institute of Science and Technology
Sun Kim, Indiana University
Lei Liu, University of Illinois, Urbana-Champaign
Zoran Obradovic, Temple University
Gultekin Ozsoyoglu, Case Western Reserve University
Srinivasan Parthasarathy, Ohio State University
Jian Pei, Simon Fraser University
Naren Ramakrishnan, Virginia Tech
Hannu Toivonen, University of Helsinki
Anthony Tung, National University of Singapore
Jason Wang, New Jersey Institute of Technology
Wei Wang, University of North Carolina, Chapel Hill
Aidong Zhang, SUNY, Buffalo
Ying Zhao, University of Missouri, Rolla
 
 
BIOKDD-2006 
(in conjunction with SIGKDD06)
http://www.acm.org/sigs/sigkdd/kdd2006/shapeimage_5_link_0
Data Mining is the process of automatic discovery of novel and understandable models and patterns from large amounts of data. Bioinformatics is the science of storing, analyzing, and utilizing information from biological data such as sequences, molecules, gene expressions, and pathways. Development of novel data mining methods will play a fundamental role in understanding these rapidly expanding sources of biological data.
The goal of this workshop is to encourage KDD researchers to take on the numerous challenges that Bioinformatics offers. The workshop will feature invited talks from noted experts in the field, and the latest data mining research in bioinformatics. We encourage papers that propose novel data mining techniques for tasks like:
  1. Gene expression analysis
  2. Protein/RNA structure prediction
  3. Phylogenetics
  4. Sequence and structural motifs
  5. Genomics and Proteomics
  6. Gene finding
  7. Drug design
  8. RNAi and microRNA Analysis
  9. Text mining in bioinformatics
  10. Modeling of biochemical pathways
Selected papers will be considered for publication in BMC Algorithms in Molecular Biology.
Submission Instructions
Papers should be at most 10 pages long (excluding references, but including the abstract, figures and tables), single-spaced, single-column, in font size 10 or larger with one-inch margins on all sides. Only paper in PDF will be accepted.
Papers should be submitted online at