- About Us
- News & Events
- Quick Links
|« Previous Event||Next Event »|
Next-generation sequencing of marine microbial environmental samples (MMES) has accelerated discovery of marine microbes and characterization of microbial communities with respect to environmental variables (e.g. location and dissolved nutrients). Already, surprising biology has emerged such asthe recent discovery that nitrogen-fixing (diazotrophic) cyanobacteria from the UCYN-A clade lack metabolic pathways usually required by free- living organisms. What other novel streamlined cyanobacteria might there be among the estimated billion microbes in a liter of seawater and how can we recognize them? Comparing data sets that overlap in the species represented could help. However, soon data set sizes will surpass a trillion base pairs and the number of sets will climb into the hundreds of thousands. Such volumes of data will preclude centralized, repository-based sharing as the sole solution. A complementary approach is to use low-bandwidth, peer-to-peer (P2P) methods that can find and compare MMES data sets stored at lab sites (i.e. sets need not be uploaded). The aims in my proposal fall within a single theme, the discovery of streamlined marine cyanobacterial genomes in MMES data sets. To enable this research I will build upon an early-stage P2P infrastructure called OpenKnowledge which offers valuable features for peer discovery and distributed protocol execution.