BIOKDD 2014 - 5th International Workshop on Biological Knowledge Discovery and Data Mining
Date2014-09-01 - 2014-09-05
Deadline2013-12-20
VenueMunich, Germany
Keywords
Websitehttps://www.dexa.org
Topics/Call fo Papers
Bioinformatics is the science of managing, mining, and interpreting information from biological data. Various genome projects have contributed to an exponential growth in DNA and protein sequence databases. Rapid advances in high-throughput technologies, such as microarrays, mass spectrometry and new/next-generation sequencing, can monitor quantitatively the presence or activity of thousands of genes, RNAs, proteins, metabolites, and compounds in a given biological state. The ongoing influx of these data, the pressing need to address complex biomedical challenge, and the gap between the two have collectively created exciting opportunities for data mining researchers.
While tremendous progress has been made over the years, many of the fundamental problems in bioinformatics, such as protein structure prediction, gene-environment interaction, and regulatory network mapping, have not been convincingly addressed. Besides these, new technologies such as next-generation sequencing are producing massive amount of sequence data; managing, mining and compressing these data raise challenging issues. Finally, there is a pressing need to use these data and computational techniques to build network models of complex biological processes and disease phenotypes. Data mining will play an essential role in addressing these fundamental problems and the development of novel therapeutic/diagnostic solutions in the post-genomics era of medicine.
While tremendous progress has been made over the years, many of the fundamental problems in bioinformatics, such as protein structure prediction, gene-environment interaction, and regulatory network mapping, have not been convincingly addressed. Besides these, new technologies such as next-generation sequencing are producing massive amount of sequence data; managing, mining and compressing these data raise challenging issues. Finally, there is a pressing need to use these data and computational techniques to build network models of complex biological processes and disease phenotypes. Data mining will play an essential role in addressing these fundamental problems and the development of novel therapeutic/diagnostic solutions in the post-genomics era of medicine.
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Last modified: 2013-11-09 06:53:51