GPU accelerated partial order multiple sequencealignment for long reads self-correction
Francesco Peverelli, Lorenzo Di Tucci, Marco Domenico Santambrogio, Nan Ding, Steven A. Hofmeyr, Aydın Buluç, Leonid Oliker, Katherine Yelick
The paper introduces a GPU-accelerated partial order alignment method for improving the efficiency of long read error correction in sequencing technologies.
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · May 1, 2020Peer-reviewedBioinformatics