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m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data
Recent methods for transcriptome-wide N(6)-methyladenosine (m(6)A) profiling have facilitated investigations into the RNA methylome and established m(6)A as a dynamic modification that has critical regulatory roles in gene expression and may play a role in human disease. However, bioinformatics reso...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602108/ https://www.ncbi.nlm.nih.gov/pubmed/28724534 http://dx.doi.org/10.1261/rna.058206.116 |
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author | Antanaviciute, Agne Baquero-Perez, Belinda Watson, Christopher M. Harrison, Sally M. Lascelles, Carolina Crinnion, Laura Markham, Alexander F. Bonthron, David T. Whitehouse, Adrian Carr, Ian M. |
author_facet | Antanaviciute, Agne Baquero-Perez, Belinda Watson, Christopher M. Harrison, Sally M. Lascelles, Carolina Crinnion, Laura Markham, Alexander F. Bonthron, David T. Whitehouse, Adrian Carr, Ian M. |
author_sort | Antanaviciute, Agne |
collection | PubMed |
description | Recent methods for transcriptome-wide N(6)-methyladenosine (m(6)A) profiling have facilitated investigations into the RNA methylome and established m(6)A as a dynamic modification that has critical regulatory roles in gene expression and may play a role in human disease. However, bioinformatics resources available for the analysis of m(6)A sequencing data are still limited. Here, we describe m6aViewer—a cross-platform application for analysis and visualization of m(6)A peaks from sequencing data. m6aViewer implements a novel m(6)A peak-calling algorithm that identifies high-confidence methylated residues with more precision than previously described approaches. The application enables data analysis through a graphical user interface, and thus, in contrast to other currently available tools, does not require the user to be skilled in computer programming. m6aViewer and test data can be downloaded here: http://dna2.leeds.ac.uk/m6a. |
format | Online Article Text |
id | pubmed-5602108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56021082017-10-04 m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data Antanaviciute, Agne Baquero-Perez, Belinda Watson, Christopher M. Harrison, Sally M. Lascelles, Carolina Crinnion, Laura Markham, Alexander F. Bonthron, David T. Whitehouse, Adrian Carr, Ian M. RNA Bioinformatics Recent methods for transcriptome-wide N(6)-methyladenosine (m(6)A) profiling have facilitated investigations into the RNA methylome and established m(6)A as a dynamic modification that has critical regulatory roles in gene expression and may play a role in human disease. However, bioinformatics resources available for the analysis of m(6)A sequencing data are still limited. Here, we describe m6aViewer—a cross-platform application for analysis and visualization of m(6)A peaks from sequencing data. m6aViewer implements a novel m(6)A peak-calling algorithm that identifies high-confidence methylated residues with more precision than previously described approaches. The application enables data analysis through a graphical user interface, and thus, in contrast to other currently available tools, does not require the user to be skilled in computer programming. m6aViewer and test data can be downloaded here: http://dna2.leeds.ac.uk/m6a. Cold Spring Harbor Laboratory Press 2017-10 /pmc/articles/PMC5602108/ /pubmed/28724534 http://dx.doi.org/10.1261/rna.058206.116 Text en © 2017 Antanaviciute et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by/4.0/ This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Bioinformatics Antanaviciute, Agne Baquero-Perez, Belinda Watson, Christopher M. Harrison, Sally M. Lascelles, Carolina Crinnion, Laura Markham, Alexander F. Bonthron, David T. Whitehouse, Adrian Carr, Ian M. m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title | m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title_full | m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title_fullStr | m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title_full_unstemmed | m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title_short | m6aViewer: software for the detection, analysis, and visualization of N(6)-methyladenosine peaks from m(6)A-seq/ME-RIP sequencing data |
title_sort | m6aviewer: software for the detection, analysis, and visualization of n(6)-methyladenosine peaks from m(6)a-seq/me-rip sequencing data |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602108/ https://www.ncbi.nlm.nih.gov/pubmed/28724534 http://dx.doi.org/10.1261/rna.058206.116 |
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