BIOKDD 2013 - 12th International Workshop on Data Mining in Bioinformatics

The goal of this workshop is to encourage KDD researchers to take on the numerous challenges that Bioinformatics offers. This year, the workshop will feature the theme of Building network and predictive models of biological processes and diseases using complex data. This field focuses on the use of computational approaches, especially from data mining and machine learning, and the large amount and variety of biological data being generated. The goal here is to build accurate predictive or descriptive network models of biological processes and diseases. These approaches have revolutionized the new age biology by enabling novel discoveries in basic biology and diseases like cancer and diabetes, as well as the development of therapeutics.
We encourage papers that propose novel data mining techniques for areas including but not limited to:
Building predictive models for complex phenotypes from large-scale biological data
Discovering biological networks and pathways underlying biological processes and diseases
Processing of new/next-generation sequencing (NGS) data for genome structural variation analysis, discovery of biomarkers and mutations, and disease risk assessment
Discovery of genotype-phenotype associations
Novel methods and frameworks for mining and integrating big biological data
Comparative genomics
Metagenome analysis using sequencing data
RNA-seq and microarray-based gene expression analysis
Genome-wide analysis of non-coding RNAs
Genome-wide regulatory motif discovery
Structural bioinformatics
Correlating NGS with proteomics data analysis
Functional annotation of genes and proteins
Chemo-informatics: Drug discovery, Virtual screening and Combinatorial chemistry
Knowledge discovery in clinical data and electronic medical records
Special biological data management techniques
Information visualization techniques for biological data
Semantic webs and ontology-driven biological data integration methods
Privacy and security issues in mining genomic and health databases
Papers should be at most 10 pages long, single-spaced, in font size 10 or larger with one-inch margins on all sides. Paper should be submitted in PDF format through CMT at the following link: https://cmt.research.microsoft.com/BIOKDD2013