Prof. Yatish Turakhia
I am an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of California San Diego (UCSD) since July 2021. I am also affiliated with the Department of Computer Science and Engineering (CSE) and the Bioinformatics and Systems Biology (BISB) graduate program at UCSD. My lab is also affiliated with the Center of Machine-Integrated Computing and Security (MICS) and Center of Microbiome Innovation (CMI) at UCSD.
Previously, I was a postdoctoral scholar at the Genomics Institute at UC Santa Cruz. I obtained his Ph.D. in Electrical Engineering in 2019 from Stanford University and my bachelor’s and master’s degree in Electrical Engineering from the Indian Institute of Technology (IIT), Bombay in 2014.
Office: Franklin Antonio Hall, Room 0104, 3180 Voigt Dr, University of California San Diego, CA 92093-0407
Email: yturakhia [at] ucsd [dot] edu
Phone: (858) 534-4493
Turakhia Lab works at the intersection of computer architecture and computational biology. Particularly, we work on developing algorithms and domain-specific hardware accelerators that enable faster and cheaper progress in biology and medicine.
Hardware acceleration of computational genomics
Genomic data is one of the fastest growing data types on the planet and is far outpacing Moore’s law. From personalized medicine to species conservation, genomic data has far-reaching applications, but computational costs are posing ever greater challenges to exploit the full potential of this data. We are exploring novel algorithms and hardware (GPU/FPGA/ASIC) acceleration approaches to speed up a wide range of computational genomics tasks, such as genome assembly, read alignment and whole-genome alignments, by orders of magnitude.
With over 5 million (and counting) whole SARS-CoV-2 genomes sequences already, the COVID-19 pathogen is the most sequenced pathogen in history. Phylogenetic analysis using these genomes has played a vital role in tracking the virus evolution and transmission, but is posing major computational challenges. Our lab is working closely with Prof. Corbett-Detig's lab at UC Santa Cruz in maintaining and refining a comprehensive phylogenetic tree consisting of all available SARS-CoV-2 genomes and further improving our tools for speed and accuracy. We are also working on studying the evolution of SARS-CoV-2, such as through recombination.
J. McBroome, B. Thornlow, A. S. Hinrichs, A. Kramer, N. D. Maio, N. Goldman, D. Haussler, R. Corbett-Detig^, Y. Turakhia^, "A daily-updated database and tools for comprehensive SARS-CoV-2 mutation-annotated trees", Molecular Biology and Evolution (MBE), Sep 2021 [paper, code, wiki].
S. D. Goenka*, Y. Turakhia*, B. Paten, M. Horowitz, "SegAlign: A Scalable GPU-Based Whole Genome Aligner", International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. [paper, slides, code]
Y. Turakhia*, S. D. Goenka*, G. Bejerano, W. Dally, “Darwin-WGA: A Co-processor Provides Increased Sensitivity in Whole Genome Alignments with High Speedup” , International Symposium on High-Performance Computer Architecture (HPCA), 2019. [paper, slides, code]
Y. Turakhia, G. Bejerano, W. Dally, “Darwin: A Genomic Co-processor Provides 15,000× Speedup on long read assembly”, Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2018 (Best paper award). [paper, slides, code]