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Methylartist: tools for visualizing modified bases from nanopore sequence data

SUMMARY: Methylartist is a consolidated suite of tools for processing, visualizing and analysing nanopore-derived modified base calls. All detectable methylation types (e.g. 5mCpG, 5hmC, 6mA) are supported, enabling integrated study of base pairs when modified naturally or as part of an experimental...

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Detalles Bibliográficos
Autores principales: Cheetham, Seth W, Kindlova, Michaela, Ewing, Adam D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154218/
https://www.ncbi.nlm.nih.gov/pubmed/35482479
http://dx.doi.org/10.1093/bioinformatics/btac292
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author Cheetham, Seth W
Kindlova, Michaela
Ewing, Adam D
author_facet Cheetham, Seth W
Kindlova, Michaela
Ewing, Adam D
author_sort Cheetham, Seth W
collection PubMed
description SUMMARY: Methylartist is a consolidated suite of tools for processing, visualizing and analysing nanopore-derived modified base calls. All detectable methylation types (e.g. 5mCpG, 5hmC, 6mA) are supported, enabling integrated study of base pairs when modified naturally or as part of an experimental protocol. AVAILABILITY AND IMPLEMENTATION: Methylartist is implemented in Python and is installable via PyPI and bioconda. Source code and test data are available at https://github.com/adamewing/methylartist. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-91542182022-06-04 Methylartist: tools for visualizing modified bases from nanopore sequence data Cheetham, Seth W Kindlova, Michaela Ewing, Adam D Bioinformatics Applications Notes SUMMARY: Methylartist is a consolidated suite of tools for processing, visualizing and analysing nanopore-derived modified base calls. All detectable methylation types (e.g. 5mCpG, 5hmC, 6mA) are supported, enabling integrated study of base pairs when modified naturally or as part of an experimental protocol. AVAILABILITY AND IMPLEMENTATION: Methylartist is implemented in Python and is installable via PyPI and bioconda. Source code and test data are available at https://github.com/adamewing/methylartist. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-04-28 /pmc/articles/PMC9154218/ /pubmed/35482479 http://dx.doi.org/10.1093/bioinformatics/btac292 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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
Cheetham, Seth W
Kindlova, Michaela
Ewing, Adam D
Methylartist: tools for visualizing modified bases from nanopore sequence data
title Methylartist: tools for visualizing modified bases from nanopore sequence data
title_full Methylartist: tools for visualizing modified bases from nanopore sequence data
title_fullStr Methylartist: tools for visualizing modified bases from nanopore sequence data
title_full_unstemmed Methylartist: tools for visualizing modified bases from nanopore sequence data
title_short Methylartist: tools for visualizing modified bases from nanopore sequence data
title_sort methylartist: tools for visualizing modified bases from nanopore sequence data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154218/
https://www.ncbi.nlm.nih.gov/pubmed/35482479
http://dx.doi.org/10.1093/bioinformatics/btac292
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