2022
DOI: 10.1101/2022.07.07.499188
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Modbamtools: Analysis of single-molecule epigenetic data for long-range profiling, heterogeneity, and clustering

Abstract: The advent of long-read sequencing methods provides new opportunities for profiling the epigenome - especially as the methylation signature comes for "free" when native DNA is sequenced on either Oxford Nanopore or Pacific Biosciences instruments. However, we lack tools to visualize and analyze data generated from these new sources. Recent efforts from the GA4GH consortium have standardized methods to encode modification location and probabilities in the BAM format. Leveraging this standard format, we develope… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
5

Relationship

3
7

Authors

Journals

citations
Cited by 14 publications
(8 citation statements)
references
References 21 publications
0
8
0
Order By: Relevance
“…We produced phased 5-methylcytosine calls aligned to GRCh38 and T2T-CHM13 references. Initial methylation calls were produced de novo using Remora (https://github.com/nanoporetech/remora) incorporated in Guppy 6.1.2; afterward reads were aligned and phased using PEPPER-Margin-DeepVariant (Shafin et al, 2021) and annotated with modbamtools v0.4.8 (Razaghi et al, 2022) and modbam2bed v0.6.3 (https://github.com/epi2me-labs/modbam2bed). Regional haplotype methylation in gene promoters and SVs were calculated using “modbamtools calcMeth”.…”
Section: Methodsmentioning
confidence: 99%
“…We produced phased 5-methylcytosine calls aligned to GRCh38 and T2T-CHM13 references. Initial methylation calls were produced de novo using Remora (https://github.com/nanoporetech/remora) incorporated in Guppy 6.1.2; afterward reads were aligned and phased using PEPPER-Margin-DeepVariant (Shafin et al, 2021) and annotated with modbamtools v0.4.8 (Razaghi et al, 2022) and modbam2bed v0.6.3 (https://github.com/epi2me-labs/modbam2bed). Regional haplotype methylation in gene promoters and SVs were calculated using “modbamtools calcMeth”.…”
Section: Methodsmentioning
confidence: 99%
“…Then, we used PEPPER-Margin-DeepVariant (v.0.8) 131 to call small variants (<50bp) and phase our variant calls and alignments. We then used our phased alignment, to produce haplotype-specific methylation calls using Modbamtools (v0.4.8) 132 and Nanopore’s modbam2bed (GitHub - epi2me-labs/modbam2bed ). Lastly, structural variants (SVs) were called using Sniffles2 (v2.2) 133 with default settings.…”
Section: Methodsmentioning
confidence: 99%
“…Comparisons were restricted to CpG islands with 50 or more CpG positions containing non-N bases in all 76 sample datasets, comprising 20,836 regions. Methylation for the SLC29A3 DMR was visualized with modbamtools v0.4.8 (Razaghi et al 2022).…”
Section: Methylation Analysismentioning
confidence: 99%