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 E-Mail IMAGE: The Rice University computer science lab of Todd Treangen challenged and beat deep learning in a test to see if a new bioinformatics approach effectively tracks the lab. view more  Credit: Tommy LaVergne/Rice University HOUSTON - (Feb. 26, 2021) - Tracking the origin of synthetic genetic code has never been simple, but it can be done through bioinformatic or, increasingly, deep learning computational approaches. Though the latter gets the lion s share of attention, new research by computer scientist Todd Treangen of Rice University s Brown School of Engineering is focused on whether sequence alignment and pan-genome-based methods can outperform recent deep learning approaches in this area.

Rice universityUnited statesBryce killeTodd treangenMike williamsRyan leo elworthRui liuQi wangJeff falkRice department of computer scienceNature communicationsNational institutes of healthNatural sciencesTommy lavergne rice universityTreangen labRice university brown school of engineering