Estimates of mean methylation in simulated data using different estimates of the non-conversion error rate.

<p>Plots show the effect of combining data over 1, 10 or 100 loci with 200 cytosines each for increasing sequencing depth. True methylation is 0.15 for all loci. Error rates for each locus are either zero or are drawn from a beta distribution with shape parameters <i>a</i> = 17 and...

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Bibliographic Details
Main Author:	Thomas James Ellis (21403016) (author)
Other Authors:	Viktoria Nizhynska (357986) (author), Rahul Pisupati (3852202) (author), Almudena Mollá-Morales (21403019) (author), Magnus Nordborg (16566) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Genetics Molecular Biology Mental Health Biological Sciences not elsewhere classified Physical Sciences not elsewhere classified xlink ">&# 8216 tagmentation &# 8217 simultaneously make double less starting material impede biological conclusions certain tagmentation protocols single strand nicks bisulphite sequencing use bisulphite sequencing strand displacement stranded breaks resulting fragments python package methylated cytosines ligate adaptors higher throughput erroneous incorporation downstream analysis dna fragment allow users additional effort
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Estimates of mean methylation in simulated data using different estimates of the non-conversion error rate.

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