Genome Graph Survey Results
Computomics is excited to announce that together with the Quantitative Biology Center (QBiC) in Tübingen, we are developing an interactive, scalable browser to visualize genome graphs (a pan-genome of a species).
In order to continue with our vision of creating unique and custom tailored bioinformatics solutions, we first surveyed our clients in order to understand what features are most important to them.
Over 60 participants, with the largest fraction engaged in bioinformatics, rated the comprehensive view of all variation including structural rearrangements as the most important feature of a pan-genome browser, followed by more specialized features like a visual comparison of genetic differences between sub-populations, and highlighting regions with high variation (hotspots).
The main use of a genome graph data structure is, according to the participants, the alignment of whole genomes as well as shorter sequencing reads against the graph, to enable updating a pan-genome and to improve variant calling. Additional capabilities of a graph structure like the clear depiction of variation hotspots, implicit sample clusterings to easily interpret QTLs are rated as secondary purposes.
Thanks a lot to all participants of the survey! We always enjoy listening to how we can innovate for your success and we will orient our efforts around your most valued features, while building on a graph data structure that allows efficient alignment capabilities. We’re excited to make a leap forward next week at the Genome Graph Browser Hackathon Tübingen 2019, hosted at Computomics!