Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Finding heterogeneously methylated genomicregions using ONT reads SummaryNanopore reads encode information on the methylation status of cytosines in CpG dinucleotides. The length of the reads makes it comparatively easy to look at patterns consisting of multiple loci; here we exploit this property to look for regions where one can define subpopulations of cells based on methylation patterns. As a benchmark we run our clustering algorithm on known imprinted genes and show that the clustering based on methylation is consistent with the phasing of the genome; we then scan chromosome 15 looking for windows corresponding to heterogeneous methylation. We can also compute the covariance of methylation across these regions while keeping into account the mixture of different types of reads.

Availabilityhttps://github.com/EmanueleRaineri/releases

Contactemanuele.raineri@cnag.crg.eu, simon.heath@cnag.crg.eu

Supplementary informationTables, figures, and some further explanations of the algorithms are available as online supplementary information.
3
The categories of this paper are: evolutionary
32
The categories of this paper are: zoology
13
The categories of this paper are: animal
4
The categories of this paper are: neuroscience
23
The categories of this paper are: immunology
30
The categories of this paper are: scientific
10
The categories of this paper are: and
22
The categories of this paper are: physiology
0
The categories of this paper are: genetics
25
The categories of this paper are: bioengineering
6
The categories of this paper are: plant
28
The categories of this paper are: communication
17
The categories of this paper are: molecular
2
The categories of this paper are: biology
21
The categories of this paper are: toxicology
11
The categories of this paper are: cognition