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 developed a technology-agnostic tool, modbamtools to visualize, manipulate and compare base modification/methylation data in a fast and robust way. modbamtools can produce high quality, interactive, and publication-ready visualizations as well as provide modules for downstream analysis of base modifications. Modbamtools comprehensive manual and tutorial can be found at https://rrazaghi.github.io/modbamtools/.

Competing Interest Statement

W.T. has two patents (8,748,091 and 8,394,584) licensed to ONT.

Details

Title
Modbamtools: Analysis of single-molecule epigenetic data for long-range profiling, heterogeneity, and clustering
Author
Razaghi, Roham; Hook, Paul W; Ou, Shujun; Schatz, Michael; Hansen, Kasper D; Jain, Miten; Timp, Winston
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2022
Publication date
Jul 8, 2022
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2686430893
Copyright
© 2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.