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DNAModAnnot: a R toolbox for DNA modification filtering and annotation
MOTIVATION: Long-read sequencing technologies can be employed to detect and map DNA modifications at the nucleotide resolution on a genome-wide scale. However, published software packages neglect the integration of genomic annotation and comprehensive filtering when analyzing patterns of modified ba...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428616/ https://www.ncbi.nlm.nih.gov/pubmed/33471071 http://dx.doi.org/10.1093/bioinformatics/btab032 |
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author | Hardy, Alexis Matelot, Mélody Touzeau, Amandine Klopp, Christophe Lopez-Roques, Céline Duharcourt, Sandra Defrance, Matthieu |
author_facet | Hardy, Alexis Matelot, Mélody Touzeau, Amandine Klopp, Christophe Lopez-Roques, Céline Duharcourt, Sandra Defrance, Matthieu |
author_sort | Hardy, Alexis |
collection | PubMed |
description | MOTIVATION: Long-read sequencing technologies can be employed to detect and map DNA modifications at the nucleotide resolution on a genome-wide scale. However, published software packages neglect the integration of genomic annotation and comprehensive filtering when analyzing patterns of modified bases detected using Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT) data. Here, we present DNA Modification Annotation (DNAModAnnot), a R package designed for the global analysis of DNA modification patterns using adapted filtering and visualization tools. RESULTS: We tested our package using PacBio sequencing data to analyze patterns of the 6-methyladenine (6mA) in the ciliate Paramecium tetraurelia, in which high 6mA amounts were previously reported. We found P. tetraurelia 6mA genome-wide distribution to be similar to other ciliates. We also performed 5-methylcytosine (5mC) analysis in human lymphoblastoid cells using ONT data and confirmed previously known patterns of 5mC. DNAModAnnot provides a toolbox for the genome-wide analysis of different DNA modifications using PacBio and ONT long-read sequencing data. AVAILABILITY AND IMPLEMENTATION: DNAModAnnot is distributed as a R package available via GitHub (https://github.com/AlexisHardy/DNAModAnnot). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8428616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84286162021-09-10 DNAModAnnot: a R toolbox for DNA modification filtering and annotation Hardy, Alexis Matelot, Mélody Touzeau, Amandine Klopp, Christophe Lopez-Roques, Céline Duharcourt, Sandra Defrance, Matthieu Bioinformatics Applications Notes MOTIVATION: Long-read sequencing technologies can be employed to detect and map DNA modifications at the nucleotide resolution on a genome-wide scale. However, published software packages neglect the integration of genomic annotation and comprehensive filtering when analyzing patterns of modified bases detected using Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT) data. Here, we present DNA Modification Annotation (DNAModAnnot), a R package designed for the global analysis of DNA modification patterns using adapted filtering and visualization tools. RESULTS: We tested our package using PacBio sequencing data to analyze patterns of the 6-methyladenine (6mA) in the ciliate Paramecium tetraurelia, in which high 6mA amounts were previously reported. We found P. tetraurelia 6mA genome-wide distribution to be similar to other ciliates. We also performed 5-methylcytosine (5mC) analysis in human lymphoblastoid cells using ONT data and confirmed previously known patterns of 5mC. DNAModAnnot provides a toolbox for the genome-wide analysis of different DNA modifications using PacBio and ONT long-read sequencing data. AVAILABILITY AND IMPLEMENTATION: DNAModAnnot is distributed as a R package available via GitHub (https://github.com/AlexisHardy/DNAModAnnot). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-01-20 /pmc/articles/PMC8428616/ /pubmed/33471071 http://dx.doi.org/10.1093/bioinformatics/btab032 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Hardy, Alexis Matelot, Mélody Touzeau, Amandine Klopp, Christophe Lopez-Roques, Céline Duharcourt, Sandra Defrance, Matthieu DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title | DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title_full | DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title_fullStr | DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title_full_unstemmed | DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title_short | DNAModAnnot: a R toolbox for DNA modification filtering and annotation |
title_sort | dnamodannot: a r toolbox for dna modification filtering and annotation |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428616/ https://www.ncbi.nlm.nih.gov/pubmed/33471071 http://dx.doi.org/10.1093/bioinformatics/btab032 |
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