In:
Bioinformatics, Oxford University Press (OUP), Vol. 37, No. 21 ( 2021-11-05), p. 3934-3935
Kurzfassung:
Bisulfite sequencing data provide value beyond the straightforward methylation assessment by analyzing single-read patterns. Over the past years, various metrics have been established to explore this layer of information. However, limited compatibility with alignment tools, reference genomes or the measurements they provide present a bottleneck for most groups to routinely perform read-level analysis. To address this, we developed RLM, a fast and scalable tool for the computation of several frequently used read-level methylation statistics. RLM supports standard alignment tools, works independently of the reference genome and handles most sequencing experiment designs. RLM can process large input files with a billion reads in just a few hours on common workstations. Availability and implementation https://github.com/sarahet/RLM. Supplementary information Supplementary data are available at Bioinformatics online.
Materialart:
Online-Ressource
ISSN:
1367-4803
,
1367-4811
DOI:
10.1093/bioinformatics/btab663
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2021
ZDB Id:
1468345-3
SSG:
12
