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NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes
The updated release of ‘NGSmethDB’ (http://bioinfo2.ugr.es/NGSmethDB) is a repository for single-base whole-genome methylome maps for the best-assembled eukaryotic genomes. Short-read data sets from NGS bisulfite-sequencing projects of cell lines, fresh and pathological tissues are first pre-process...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964946/ https://www.ncbi.nlm.nih.gov/pubmed/24271385 http://dx.doi.org/10.1093/nar/gkt1202 |
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author | Geisen, Stefanie Barturen, Guillermo Alganza, Ángel M. Hackenberg, Michael Oliver, José L. |
author_facet | Geisen, Stefanie Barturen, Guillermo Alganza, Ángel M. Hackenberg, Michael Oliver, José L. |
author_sort | Geisen, Stefanie |
collection | PubMed |
description | The updated release of ‘NGSmethDB’ (http://bioinfo2.ugr.es/NGSmethDB) is a repository for single-base whole-genome methylome maps for the best-assembled eukaryotic genomes. Short-read data sets from NGS bisulfite-sequencing projects of cell lines, fresh and pathological tissues are first pre-processed and aligned to the corresponding reference genome, and then the cytosine methylation levels are profiled. One major improvement is the application of a unique bioinformatics protocol to all data sets, thereby assuring the comparability of all values with each other. We implemented stringent quality controls to minimize important error sources, such as sequencing errors, bisulfite failures, clonal reads or single nucleotide variants (SNVs). This leads to reliable and high-quality methylomes, all obtained under uniform settings. Another significant improvement is the detection in parallel of SNVs, which might be crucial for many downstream analyses (e.g. SNVs and differential-methylation relationships). A next-generation methylation browser allows fast and smooth scrolling and zooming, thus speeding data download/upload, at the same time requiring fewer server resources. Several data mining tools allow the comparison/retrieval of methylation levels in different tissues or genome regions. NGSmethDB methylomes are also available as native tracks through a UCSC hub, which allows comparison with a wide range of third-party annotations, in particular phenotype or disease annotations. |
format | Online Article Text |
id | pubmed-3964946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39649462014-03-25 NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes Geisen, Stefanie Barturen, Guillermo Alganza, Ángel M. Hackenberg, Michael Oliver, José L. Nucleic Acids Res I. Nucleic acid sequence, structure and regulation The updated release of ‘NGSmethDB’ (http://bioinfo2.ugr.es/NGSmethDB) is a repository for single-base whole-genome methylome maps for the best-assembled eukaryotic genomes. Short-read data sets from NGS bisulfite-sequencing projects of cell lines, fresh and pathological tissues are first pre-processed and aligned to the corresponding reference genome, and then the cytosine methylation levels are profiled. One major improvement is the application of a unique bioinformatics protocol to all data sets, thereby assuring the comparability of all values with each other. We implemented stringent quality controls to minimize important error sources, such as sequencing errors, bisulfite failures, clonal reads or single nucleotide variants (SNVs). This leads to reliable and high-quality methylomes, all obtained under uniform settings. Another significant improvement is the detection in parallel of SNVs, which might be crucial for many downstream analyses (e.g. SNVs and differential-methylation relationships). A next-generation methylation browser allows fast and smooth scrolling and zooming, thus speeding data download/upload, at the same time requiring fewer server resources. Several data mining tools allow the comparison/retrieval of methylation levels in different tissues or genome regions. NGSmethDB methylomes are also available as native tracks through a UCSC hub, which allows comparison with a wide range of third-party annotations, in particular phenotype or disease annotations. Oxford University Press 2014-01-01 2013-11-22 /pmc/articles/PMC3964946/ /pubmed/24271385 http://dx.doi.org/10.1093/nar/gkt1202 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | I. Nucleic acid sequence, structure and regulation Geisen, Stefanie Barturen, Guillermo Alganza, Ángel M. Hackenberg, Michael Oliver, José L. NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title | NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title_full | NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title_fullStr | NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title_full_unstemmed | NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title_short | NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes |
title_sort | ngsmethdb: an updated genome resource for high quality, single-cytosine resolution methylomes |
topic | I. Nucleic acid sequence, structure and regulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964946/ https://www.ncbi.nlm.nih.gov/pubmed/24271385 http://dx.doi.org/10.1093/nar/gkt1202 |
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