[I]t’s becoming painfully clear that the original method that scientists used to compare genomes to each other…is rapidly becoming obsolete. When scientists sequence a new genome, their reconstructions are far from perfect. And those imperfections sometimes cause geneticists to miss a mutation known to cause a disease.
[Benedict] Paten, a computational biologist at the University of California, Santa Cruz, belongs to a cadre of scientists who are building the tools to look at genomes in a new way: as a single network of DNA sequences, known as a genome graph.…
A genome graph should, in theory, be a lot smarter…If a read doesn’t match anything in one genome, it may match one of the others. And once you’ve assembled that new genome, you can add it to the graph, too.
Related on the SLP
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“This graph-based way of thinking is fundamentally a new way of thinking about the genome,” said [the Broad Institute’s Daniel MacArthur]. “I think long-term this is likely to be the direction that the field is heading. But right now, I’m in no hurry.”
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