iGEM presents Biohackathon 2016

Toronto’s annual Biohackathon bridges the gap between computer scientists and life scientists. This year’s challenges included developing a new method to construct a phylogenetic tree, a novel method for gene prediction, obtaining information (structure, chemical composition) of a protein by utilizing mass spectrum given by designing a computational tool, and constructing a computational strategy to better predict the pseudoknot-containing RNA secondary structure. The winning team, Ripped Jeans created a regulatory network that was able to model genetic circuits. With their API, they were able to capture the dynamics of turning components on and off within a cell. (U of T BioHacks)

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