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Fec: a fast error correction method based on two-rounds overlapping and caching.

Authors :
Zhang, Jun
Nie, Fan
Huang, Neng
Ni, Peng
Luo, Feng
Wang, Jianxin
Source :
Bioinformatics. 10/1/2022, Vol. 38 Issue 19, p4629-4632. 4p.
Publication Year :
2022

Abstract

The third-generation sequencing technology has advanced genome analysis with long-read length, but the reads need error correction due to the high error rate. Error correction is a time-consuming process especially when the sequencing coverage is high. Generally, for a pair of overlapping reads A and B, the existing error correction methods perform a base-level alignment from B to A when correcting the read A. And another base-level alignment from A to B is performed when correcting the read B. However, based on our observation, the base-level alignment information can be reused. In this article, we present a fast error correction tool Fec, using two-rounds overlapping and caching. Fec can be used independently or as an error correction step in an assembly pipeline. In the first round, Fec uses a large window size (20) to quickly find enough overlaps to correct most of the reads. In the second round, a small window size (5) is used to find more overlaps for the reads with insufficient overlaps in the first round. When performing base-level alignment, Fec searches the cache first. If the alignment exists in the cache, Fec takes this alignment out and deduces the second alignment from it. Otherwise, Fec performs base-level alignment and stores the alignment in the cache. We test Fec on nine datasets, and the results show that Fec has 1.24–38.56 times speed-up compared to MECAT, CANU and MINICNS on five PacBio datasets and 1.16–27.8 times speed-up compared to NECAT and CANU on four nanopore datasets. Availability and implementation Fec is available at https://github.com/zhangjuncsu/Fec. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
38
Issue :
19
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
159436873
Full Text :
https://doi.org/10.1093/bioinformatics/btac565