Lucian Ilie1, Michael Molnar. 1. Department of Computer Science, University of Western Ontario, N6A 5B7 London, ON, Canada.
Abstract
MOTIVATION: High-throughput next-generation sequencing technologies enable increasingly fast and affordable sequencing of genomes and transcriptomes, with a broad range of applications. The quality of the sequencing data is crucial for all applications. A significant portion of the data produced contains errors, and ever more efficient error correction programs are needed. RESULTS: We propose RACER (Rapid and Accurate Correction of Errors in Reads), a new software program for correcting errors in sequencing data. RACER has better error-correcting performance than existing programs, is faster and requires less memory. To support our claims, we performed extensive comparison with the existing leading programs on a variety of real datasets. AVAILABILITY: RACER is freely available for non-commercial use at www.csd.uwo.ca/∼ilie/RACER/.
MOTIVATION: High-throughput next-generation sequencing technologies enable increasingly fast and affordable sequencing of genomes and transcriptomes, with a broad range of applications. The quality of the sequencing data is crucial for all applications. A significant portion of the data produced contains errors, and ever more efficient error correction programs are needed. RESULTS: We propose RACER (Rapid and Accurate Correction of Errors in Reads), a new software program for correcting errors in sequencing data. RACER has better error-correcting performance than existing programs, is faster and requires less memory. To support our claims, we performed extensive comparison with the existing leading programs on a variety of real datasets. AVAILABILITY: RACER is freely available for non-commercial use at www.csd.uwo.ca/∼ilie/RACER/.
Authors: Daniel Savel; Thomas LaFramboise; Ananth Grama; Mehmet Koyuturk Journal: IEEE/ACM Trans Comput Biol Bioinform Date: 2016-06-29 Impact factor: 3.710
Authors: Gregorio Alanis-Lobato; Jasmin Zohren; Afshan McCarthy; Norah M E Fogarty; Nada Kubikova; Emily Hardman; Maria Greco; Dagan Wells; James M A Turner; Kathy K Niakan Journal: Proc Natl Acad Sci U S A Date: 2021-04-09 Impact factor: 11.205