Cargando…

ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay

BACKGROUND: DNA methylation at cytosine nucleotides constitutes epigenetic gene regulation impacting cellular development and a wide range of diseases. Cytosine bases of the DNA are converted to 5-methylcytosine by the methyltransferase enzyme, acting as a reversible regulator of gene expression. Du...

Descripción completa

Detalles Bibliográficos
Autores principales: Preussner, Jens, Bayer, Julia, Kuenne, Carsten, Looso, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666223/
https://www.ncbi.nlm.nih.gov/pubmed/26628921
http://dx.doi.org/10.1186/s13072-015-0045-1
_version_ 1782403681547714560
author Preussner, Jens
Bayer, Julia
Kuenne, Carsten
Looso, Mario
author_facet Preussner, Jens
Bayer, Julia
Kuenne, Carsten
Looso, Mario
author_sort Preussner, Jens
collection PubMed
description BACKGROUND: DNA methylation at cytosine nucleotides constitutes epigenetic gene regulation impacting cellular development and a wide range of diseases. Cytosine bases of the DNA are converted to 5-methylcytosine by the methyltransferase enzyme, acting as a reversible regulator of gene expression. Due to its outstanding importance in the epigenetic field, a number of lab techniques were developed to interrogate DNA methylation on a global range. Besides whole-genome bisulfite sequencing, the Infinium HumanMethylation450 Assay represents a versatile and cost-effective tool to investigate genome-wide changes of methylation patterns. RESULTS: Analysis of DNA Methylation In genomic REgions (ADMIRE) is an open source, semi-automatic analysis pipeline and visualization tool for Infinium HumanMethylation450 Assays with a special focus on ease of use. It features flexible experimental settings, quality control, automatic filtering, normalization, multiple testing, and differential analyses on arbitrary genomic regions. Publication-ready graphics, genome browser tracks, and table outputs include summary data and statistics, permitting instant comparison of methylation profiles between sample groups and the exploration of methylation patterns along the whole genome. ADMIREs statistical approach permits simultaneous large-scale analyses of hundreds of assays with little impact on algorithm runtimes. CONCLUSIONS: The web-based version of ADMIRE provides a simple interface to researchers with limited programming skills, whereas the offline version is suitable for integration into custom pipelines. ADMIRE may be used via our freely available web service at https://bioinformatics.mpi-bn.mpg.de without any limitations concerning the size of a project. An offline version for local execution is available from our website or GitHub (https://github.molgen.mpg.de/loosolab/admire). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-015-0045-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4666223
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46662232015-12-02 ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay Preussner, Jens Bayer, Julia Kuenne, Carsten Looso, Mario Epigenetics Chromatin Methodology BACKGROUND: DNA methylation at cytosine nucleotides constitutes epigenetic gene regulation impacting cellular development and a wide range of diseases. Cytosine bases of the DNA are converted to 5-methylcytosine by the methyltransferase enzyme, acting as a reversible regulator of gene expression. Due to its outstanding importance in the epigenetic field, a number of lab techniques were developed to interrogate DNA methylation on a global range. Besides whole-genome bisulfite sequencing, the Infinium HumanMethylation450 Assay represents a versatile and cost-effective tool to investigate genome-wide changes of methylation patterns. RESULTS: Analysis of DNA Methylation In genomic REgions (ADMIRE) is an open source, semi-automatic analysis pipeline and visualization tool for Infinium HumanMethylation450 Assays with a special focus on ease of use. It features flexible experimental settings, quality control, automatic filtering, normalization, multiple testing, and differential analyses on arbitrary genomic regions. Publication-ready graphics, genome browser tracks, and table outputs include summary data and statistics, permitting instant comparison of methylation profiles between sample groups and the exploration of methylation patterns along the whole genome. ADMIREs statistical approach permits simultaneous large-scale analyses of hundreds of assays with little impact on algorithm runtimes. CONCLUSIONS: The web-based version of ADMIRE provides a simple interface to researchers with limited programming skills, whereas the offline version is suitable for integration into custom pipelines. ADMIRE may be used via our freely available web service at https://bioinformatics.mpi-bn.mpg.de without any limitations concerning the size of a project. An offline version for local execution is available from our website or GitHub (https://github.molgen.mpg.de/loosolab/admire). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-015-0045-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-01 /pmc/articles/PMC4666223/ /pubmed/26628921 http://dx.doi.org/10.1186/s13072-015-0045-1 Text en © Preussner et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Preussner, Jens
Bayer, Julia
Kuenne, Carsten
Looso, Mario
ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title_full ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title_fullStr ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title_full_unstemmed ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title_short ADMIRE: analysis and visualization of differential methylation in genomic regions using the Infinium HumanMethylation450 Assay
title_sort admire: analysis and visualization of differential methylation in genomic regions using the infinium humanmethylation450 assay
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666223/
https://www.ncbi.nlm.nih.gov/pubmed/26628921
http://dx.doi.org/10.1186/s13072-015-0045-1
work_keys_str_mv AT preussnerjens admireanalysisandvisualizationofdifferentialmethylationingenomicregionsusingtheinfiniumhumanmethylation450assay
AT bayerjulia admireanalysisandvisualizationofdifferentialmethylationingenomicregionsusingtheinfiniumhumanmethylation450assay
AT kuennecarsten admireanalysisandvisualizationofdifferentialmethylationingenomicregionsusingtheinfiniumhumanmethylation450assay
AT loosomario admireanalysisandvisualizationofdifferentialmethylationingenomicregionsusingtheinfiniumhumanmethylation450assay