BIOKDD 2011 - 10th International Workshop on Data Mining in Bioinformatics (BIOKDD '11)
Date2011-08-21
Deadline2011-05-07
VenueSan Diego, USA - United States
Keywords
Websitehttps://www.kdd.org/kdd2011
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. Advances in high-throughput technology such as microarrays and mass spectrometry have further created the fields of functional genomics and proteomics, in which one can monitor quantitatively the presence of multiple genes, proteins, metabolites, and compounds in a given biological state. The ongoing influx of these data, the inherent uncertainties in data collection processes, and the gap between data collection and knowledge curation 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 pathway mapping, are still open. Data mining will play essential roles in understanding these fundamental problems and development of novel therapeutic/diagnostic solutions in post-genome 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 pathway mapping, are still open. Data mining will play essential roles in understanding these fundamental problems and development of novel therapeutic/diagnostic solutions in post-genome medicine.
Other CFPs
- International Workshop on Mining Data Semantics (MDS2011)
- International Workshop on Predictive Markup Language Modeling (PMML)
- 9th International Workshop on Knowledge Discovery, Modeling and Simulation
- 9th International Workshop on Knowledge Discovery in Educational Data
- 9th International Workshop on Mining and Learning with Graphs
Last modified: 2011-03-25 09:21:39