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 p...

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Veröffentlicht in:Nucleic acids research 2014-01, Vol.42 (Database issue), p.D53-D59
Hauptverfasser: Geisen, Stefanie, Barturen, Guillermo, Alganza, Ángel M, Hackenberg, Michael, Oliver, José L
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container_end_page D59
container_issue Database issue
container_start_page D53
container_title Nucleic acids research
container_volume 42
creator Geisen, Stefanie
Barturen, Guillermo
Alganza, Ángel M
Hackenberg, Michael
Oliver, José L
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.
doi_str_mv 10.1093/nar/gkt1202
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subjects Animals
Cell Line
Cytosine - metabolism
Databases, Nucleic Acid
DNA Methylation
Epigenesis, Genetic
Genetic Variation
Genome
Genomics
High-Throughput Nucleotide Sequencing - methods
High-Throughput Nucleotide Sequencing - standards
Humans
I. Nucleic acid sequence, structure and regulation
Internet
Mice
Sequence Alignment
Sequence Analysis, DNA - methods
Sequence Analysis, DNA - standards
title NGSmethDB: an updated genome resource for high quality, single-cytosine resolution methylomes
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