  Motivation: Next-generation sequencing tools have enabled producing of huge
amount of genomic information at low cost. Unfortunately, presence of
sequencing errors in such data affects quality of downstream analyzes. Accuracy
of them can be improved by performing error correction. Because of huge amount
of such data correction algorithms have to: be fast, memory-frugal, and provide
high accuracy of error detection and elimination for variously-sized organisms.
  Results: We introduce a new algorithm for genomic data correction, capable of
processing eucaryotic 300 Mbp-genome-size, high error-rated data using less
than 4 GB of RAM in less than 40 minutes on 16-core CPU. The algorithm allows
to correct sequencing data at better or comparable level than competitors. This
was achieved by using very robust KMC~2 $k$-mer counter, new method of
erroneous regions correction based on both $k$-mer counts and FASTQ quality
indicators as well as careful optimization. Availability: Program is freely
available at http://sun.aei.posl.pl/REFRESH/reckoner. Contact:
<EMAIL_ADDRESS>