Cargando…
NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data
Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the absence of methylation in a particular genome region over a range of tissues, the differential tissue methylation or the...
Autores principales: | , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013793/ https://www.ncbi.nlm.nih.gov/pubmed/20965971 http://dx.doi.org/10.1093/nar/gkq942 |
_version_ | 1782195331986882560 |
---|---|
author | Hackenberg, Michael Barturen, Guillermo Oliver, José L. |
author_facet | Hackenberg, Michael Barturen, Guillermo Oliver, José L. |
author_sort | Hackenberg, Michael |
collection | PubMed |
description | Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the absence of methylation in a particular genome region over a range of tissues, the differential tissue methylation or the changes occurring along pathological conditions. However, no database exists fully addressing such requirements. We propose here NGSmethDB (http://bioinfo2.ugr.es/NGSmethDB/gbrowse/) for the storage and retrieval of methylation data derived from NGS. Two cytosine methylation contexts (CpG and CAG/CTG) are considered. Through a browser interface coupled to a MySQL backend and several data mining tools, the user can search for methylation states in a set of tissues, retrieve methylation values for a set of tissues in a given chromosomal region, or display the methylation of promoters among different tissues. NGSmethDB is currently populated with human, mouse and Arabidopsis data, but other methylomes will be incorporated through an automatic pipeline as soon as new data become available. Dump downloads for three coverage levels (1, 5 or 10 reads) are available. NGSmethDB will be useful for experimental researchers, as well as for bioinformaticians, who might use the data as input for further research. |
format | Text |
id | pubmed-3013793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137932011-01-03 NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data Hackenberg, Michael Barturen, Guillermo Oliver, José L. Nucleic Acids Res Articles Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the absence of methylation in a particular genome region over a range of tissues, the differential tissue methylation or the changes occurring along pathological conditions. However, no database exists fully addressing such requirements. We propose here NGSmethDB (http://bioinfo2.ugr.es/NGSmethDB/gbrowse/) for the storage and retrieval of methylation data derived from NGS. Two cytosine methylation contexts (CpG and CAG/CTG) are considered. Through a browser interface coupled to a MySQL backend and several data mining tools, the user can search for methylation states in a set of tissues, retrieve methylation values for a set of tissues in a given chromosomal region, or display the methylation of promoters among different tissues. NGSmethDB is currently populated with human, mouse and Arabidopsis data, but other methylomes will be incorporated through an automatic pipeline as soon as new data become available. Dump downloads for three coverage levels (1, 5 or 10 reads) are available. NGSmethDB will be useful for experimental researchers, as well as for bioinformaticians, who might use the data as input for further research. Oxford University Press 2011-01 2010-10-21 /pmc/articles/PMC3013793/ /pubmed/20965971 http://dx.doi.org/10.1093/nar/gkq942 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hackenberg, Michael Barturen, Guillermo Oliver, José L. NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title | NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title_full | NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title_fullStr | NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title_full_unstemmed | NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title_short | NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data |
title_sort | ngsmethdb: a database for next-generation sequencing single-cytosine-resolution dna methylation data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013793/ https://www.ncbi.nlm.nih.gov/pubmed/20965971 http://dx.doi.org/10.1093/nar/gkq942 |
work_keys_str_mv | AT hackenbergmichael ngsmethdbadatabasefornextgenerationsequencingsinglecytosineresolutiondnamethylationdata AT barturenguillermo ngsmethdbadatabasefornextgenerationsequencingsinglecytosineresolutiondnamethylationdata AT oliverjosel ngsmethdbadatabasefornextgenerationsequencingsinglecytosineresolutiondnamethylationdata |