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Methplotlib: analysis of modified nucleotides from nanopore sequencing

SUMMARY: Modified nucleotides play a crucial role in gene expression regulation. Here, we describe methplotlib, a tool developed for the visualization of modified nucleotides detected from Oxford Nanopore Technologies sequencing platforms, together with additional scripts for statistical analysis of...

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Detalles Bibliográficos
Autores principales: De Coster, Wouter, Stovner, Endre Bakken, Strazisar, Mojca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214038/
https://www.ncbi.nlm.nih.gov/pubmed/32053166
http://dx.doi.org/10.1093/bioinformatics/btaa093
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author De Coster, Wouter
Stovner, Endre Bakken
Strazisar, Mojca
author_facet De Coster, Wouter
Stovner, Endre Bakken
Strazisar, Mojca
author_sort De Coster, Wouter
collection PubMed
description SUMMARY: Modified nucleotides play a crucial role in gene expression regulation. Here, we describe methplotlib, a tool developed for the visualization of modified nucleotides detected from Oxford Nanopore Technologies sequencing platforms, together with additional scripts for statistical analysis of allele-specific modification within-subjects and differential modification frequency across subjects. AVAILABILITY AND IMPLEMENTATION: The methplotlib command-line tool is written in Python3, is compatible with Linux, Mac OS and the MS Windows 10 Subsystem for Linux and released under the MIT license. The source code can be found at https://github.com/wdecoster/methplotlib and can be installed from PyPI and bioconda. Our repository includes test data, and the tool is continuously tested at travis-ci.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-72140382020-05-15 Methplotlib: analysis of modified nucleotides from nanopore sequencing De Coster, Wouter Stovner, Endre Bakken Strazisar, Mojca Bioinformatics Applications Notes SUMMARY: Modified nucleotides play a crucial role in gene expression regulation. Here, we describe methplotlib, a tool developed for the visualization of modified nucleotides detected from Oxford Nanopore Technologies sequencing platforms, together with additional scripts for statistical analysis of allele-specific modification within-subjects and differential modification frequency across subjects. AVAILABILITY AND IMPLEMENTATION: The methplotlib command-line tool is written in Python3, is compatible with Linux, Mac OS and the MS Windows 10 Subsystem for Linux and released under the MIT license. The source code can be found at https://github.com/wdecoster/methplotlib and can be installed from PyPI and bioconda. Our repository includes test data, and the tool is continuously tested at travis-ci.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-05-15 2020-02-13 /pmc/articles/PMC7214038/ /pubmed/32053166 http://dx.doi.org/10.1093/bioinformatics/btaa093 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
De Coster, Wouter
Stovner, Endre Bakken
Strazisar, Mojca
Methplotlib: analysis of modified nucleotides from nanopore sequencing
title Methplotlib: analysis of modified nucleotides from nanopore sequencing
title_full Methplotlib: analysis of modified nucleotides from nanopore sequencing
title_fullStr Methplotlib: analysis of modified nucleotides from nanopore sequencing
title_full_unstemmed Methplotlib: analysis of modified nucleotides from nanopore sequencing
title_short Methplotlib: analysis of modified nucleotides from nanopore sequencing
title_sort methplotlib: analysis of modified nucleotides from nanopore sequencing
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214038/
https://www.ncbi.nlm.nih.gov/pubmed/32053166
http://dx.doi.org/10.1093/bioinformatics/btaa093
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