Our latest review paper “From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures” addresses the pressing need to make genome analysis more intelligent; to read, analyze, and interpret our genomes not only quickly, but also accurately and efficiently enough to scale the analysis to population level.
Mohammed Alser, Joel Lindegger, Can Firtina, Nour Almadhoun, Haiyu Mao, Gagandeep Singh, Juan Gomez-Luna, Onur Mutlu, From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures, Computational and Structural Biotechnology Journal, 2022.
[Version arXiv (pdf)]
We often reduce the exe. time of bioinf. tools, but never worry about their energy, memory footprint, carbon footprint, and data movement issues, which we now need more than ever to tackle! Check out our latest workhttps://t.co/oqN5irmxmP@_onurmutlu_ @SAFARI_ETH_CMU @ETH_en pic.twitter.com/INTE15CvTy
— Mohammed Alser (@mealser) September 16, 2022