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Nanopore Current Events Magnifier (nanoCEM): a novel tool for visualizing current events at modification sites of nanopore sequencing

Zhihao Guo, Ying Ni, Lu Tan, Yanwen Shao, Lianwei Ye, Sheng Chen*, Runsheng Li*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

46 Downloads (CityUHK Scholars)

Abstract

Nanopore sequencing technologies have enabled the direct detection of base modifications in DNA or RNA molecules. Despite these advancements, the tools for visualizing electrical current, essential for analyzing base modifications, are often lacking in clarity and compatibility with diverse nanopore pipelines. Here, we present Nanopore Current Events Magnifier (nanoCEM, https://github.com/lrslab/nanoCEM), a Python command-line tool designed to facilitate the identification of DNA/RNA modification sites through enhanced visualization and statistical analysis. Compatible with the four preprocessing methods including 'f5c resquiggle', 'f5c eventalign', 'Tombo' and 'move table', nanoCEM is applicable to RNA and DNA analysis across multiple flow cell types. By utilizing rescaling techniques and calculating various statistical features, nanoCEM provides more accurate and comparable visualization of current events, allowing researchers to effectively observe differences between samples and showcase the modified sites.

© The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.
Original languageEnglish
Article numberlqae052
JournalNAR Genomics and Bioinformatics
Volume6
Issue number2
Online published20 May 2024
DOIs
Publication statusPublished - Jun 2024

Bibliographical note

© The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Funding

Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project [HZQBKCZYZ-2021017]; Early career scheme [CityU 21100521] from the Hong Kong Research Grant Council; Hong Kong Health and Medical Research Fund [08 194 126]; new Research Initiatives support from City University of Hong Kong [9 610 497].

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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