Genomic Sequence Analysis Automation

In an effort to better understand the relationships between organisms, we are trying to map the similarity between genomic sequences. Through the use of complex algorithms, “distances ” between genomic sequences may be defined, and these distances can be scaled and used to create a plot. There is, of course, some work to be done. These processes developed by the lab are heuristic and only understood and accessible by a few. Also they are not automated. However, these issues can be addressed by setting up a server to run a Python based portal designed to accept user input via the web and run these algorithms on computer clusters. This portal would be integrated into an existing framework, Cloudmesh, lending a user-friendly front-end and a powerful back-end for processing. Being able to efficiently map the differences in genomic sequences will vastly improve people’s understanding of organisms ’ evolutionary histories. This may also have vast implications in the realms of genetics and medicine as a result of the improved understanding of the relationships between various organisms