# Even better correction of genome sequencing data

## TL;DR

This paper presents an enhanced version of the RECKONER error correction tool for Illumina genome sequencing data, significantly reducing computation time and introducing a new method for selecting the optimal k-mer length, validated on large genomic datasets.

## Contribution

The authors improve RECKONER's workflow for faster correction and propose a novel method for determining the optimal k-mer size in error correction.

## Key findings

- 10-fold reduction in computation time
- Effective correction on human and maize genomes
- Validated on Illumina HiSeq and MiSeq data

## Abstract

We introduce an improved version of RECKONER, an error corrector for Illumina whole genome sequencing data. By modifying its workflow we reduce the computation time even 10 times. We also propose a new method of determination of $k$-mer length, the key parameter of $k$-spectrum-based family of correctors. The correction algorithms are examined on huge data sets, i.e., human and maize genomes for both Illumina HiSeq and MiSeq instruments.