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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9154218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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