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NGSmethDB: an updated genome resource for high quality single-cytosine resolution methylomes

机译:NGSmethDB:用于高质量单胞嘧啶分辨率甲基化组的更新基因组资源

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摘要

The updated release of ‘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.
机译:更新版本的“ NGSmethDB”()是用于最佳组装真核生物基因组的单碱基全基因组甲基化基因组图谱的存储库。首先对来自细胞系,新鲜和病理组织的NGS亚硫酸氢盐测序项目的短读数据集进行预处理,并与相应的参考基因组进行比对,然后分析胞嘧啶甲基化水平。一个重大改进是将独特的生物信息学协议应用于所有数据集,从而确保所有值之间的可比性。我们实施了严格的质量控制,以最大程度地减少重要的错误来源,例如测序错误,亚硫酸氢盐失败,克隆读取或单核苷酸变异(SNV)。这导致可靠且高质量的甲基化蛋白质组,所有这些均在统一的设置下获得。另一个重大改进是并行检测SNV,这对于许多下游分析(例如SNV和差异甲基化关系)可能至关重要。下一代甲基化浏览器可实现快速流畅的滚动和缩放,从而加快了数据的下载/上传速度,同时需要更少的服务器资源。几种数据挖掘工具可以比较/检索不同组织或基因组区域中的甲基化水平。 NGSmethDB甲基化组也可以通过UCSC集线器作为本地曲目使用,从而可以与各种第三方注释(尤其是表型或疾病注释)进行比较。

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