Share:
Peer-Reviewed Publication
bioRxiv2025July 4, 2025Journal Article

NANOME: A Nextflow pipeline for haplotype-aware allele-specific consensus DNA methylation detection by nanopore long-read sequencing.

Yang Liu1, Hash Brown Taha1, Qiuyang Zhang1, Ziwei Pan2,3, Christina Chatzipantsiou4, Emma Wade5, Thatcher Slocum2, Lasya Karuturi2, Yue Zhao2, Shilpita Karmakar2, Sheng Li1
1Department of Cancer Biology, Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
2The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
3Department of Genetics and Genome Sciences, UConn Health Center, Farmington, CT, USA.
4Lifebit Biotech Ltd., London, UK.
5Department of Computer Science and Engineering, Mississippi State University, Starkville, MS.

Abstract

Nanopore long-read sequencing has expanded the capacity of long-range, single-base, and single-molecule DNA-methylation (DNAme) detection and haplotype-aware allele-specific epigenetic phasing. Previously, we benchmarked and ranked the robustness of seven computational tools for DNAme detection using nanopore sequencing. The top performers were Megalodon, Nanopolish, DeepSignal and Guppy. However,…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.