DTMBIO 2011 - 5th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'11)

Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms, including bibliographic information from electronic medical journals, gene expression data from Microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by the Human Genome Project, and patient healthcare records. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous structured and unstructured data remains a challenging task.

We invite the submission of papers that propose ways to address the variety of aspects involved in meeting this challenge.

The topics of Interest include, but not limited to:
Proposal and assessment of novel text mining solutions
Information integration for data and text mining
Information extraction from biomedical literature
Information retrieval for large distributed data collections
Gene sequence annotation
Protein/RNA structure prediction
Gene expression analysis
Algorithms for sequence and structural motif detection
Modeling of biochemical pathways and biological networks
Image mining in biomedical informatics
Mining multiple information sources in biomedical informatics
Workflow modeling and analysis for drug development, system biology, and biomedical working processes
Knowledge discovery in electronic medical records
Translational medicine approaches for combining bioinformatics data with clinical information
Anonymization of clinical data
Creation of biomedical annotated corpora

Website: http://biosoft.kaist.ac.kr/dtmbio/dtmbio2011/home....