Abstract: A system and method for estimation of functional potential of pathways in genomes/meta-genomes is provided. Initially seed modules are identified and a multi-dimensional tag map is created. Further, pathway annotation is done using a novel 6Q annotation step. Hidden Markov Model (HMM) based search augmented with an analysis of gene context is used to refine the modules using a graph theory based approach. The method uses the multidimensional module tag map to build a backend knowledge base and use the same for an iterative literature search to verify the clustered organization of genes within a pathway. Finally, a score is assigned to compute the contribution of each pathway within the genome/meta-genome.

Abstract: Contamination of environment by a multitude of pollutants is becoming a global health concern. Lot of methods are being used for bioremediation of those pollutants. A method and system for one or more pollutants has been provided. The sample is collected from a site containing pollutants. Pollutants are then isolated from the sample. Further, a knowledgebase various types of degraders of those pollutant is created. Using this knowledgebase a map of microbes is created. The map of microbes is then used to design a first microbial consortia and a second microbial consortia which together contributes genes, proteins and enzymes required for degradation of the pollutants. And finally, a concoction of the first and/or second microbial consortia is administered on the site. The method further comprises the checking the efficacy of the administered consortia and further comprise re-administration of the concoction.

Abstract: A system and method for estimation of functional potential of pathways in genomes/meta-genomes is provided. Initially seed modules are identified and a multi-dimensional tag map is created. Further, pathway annotation is done using a novel 6Q annotation step. Hidden Markov Model (HMM) based search augmented with an analysis of gene context is used to refine the modules using a graph theory based approach. The method uses the multidimensional module tag map to build a backend knowledge base and use the same for an iterative literature search to verify the clustered organization of genes within a pathway. Finally, a score is assigned to compute the contribution of each pathway within the genome/meta-genome.