GMDM 2015 - 2015 Workshop on Genomics and Metagenomics Data Mining ? GMDM

The advent of sequencing technologies resulted in a rapid intensification in the size, scope and speed of completion of genomics and metagenomics projects. Bioinformatic research has entered the big data era. While the ability to acquire genomic and metagenomic data has grown exponentially, the computational methods and algorithms to interpret and mine this large amount of data is lagging far behind. The disconnection stems from the facts that analysis of these sequences largely rests on the homologies between genomic features of interest and previously curated knowledge from traditional model organisms, and the lack of advanced computational methods designed for mining heterogeneous large-scale genomic and metagenomic data. Genomic and metagenomic research has not only changed the nature of microbiology and microbial evolution studies but also poses more challenges to our data analysis and data mining community.
This workshop is devoted to the emerging trends in development and applications of data-analytical and algorithms, mathematical modeling and simulation techniques in genomics and metagenomics as well as biological, behavioral, and social systems in general. Topics include but are not restricted to: pattern discovery, filtering, sequencing, binning, gene prediction, data integration, meta-analysis, network analysis, genome-wide association, genotype-phenotype (G2P) association, gene pathway analysis, complex trait regulation, and haplotype analysis using high-throughput sequences.