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NGSmethDB:一个用于下一代测序单胞嘧啶分辨率DNA甲基化数据的数据库。

NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data.

作者信息

Hackenberg Michael, Barturen Guillermo, Oliver José L

机构信息

Dpto de Genética, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain.

出版信息

Nucleic Acids Res. 2011 Jan;39(Database issue):D75-9. doi: 10.1093/nar/gkq942. Epub 2010 Oct 21.

Abstract

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.

摘要

新一代测序(NGS)与亚硫酸氢盐转化相结合,能够以单胞嘧啶分辨率生成全基因组甲基化图谱。这使得人们能够研究特定基因组区域在一系列组织中的甲基化缺失情况、不同组织间的甲基化差异或病理状态下发生的变化。然而,目前还没有一个数据库能完全满足这些需求。我们在此提出NGSmethDB(http://bioinfo2.ugr.es/NGSmethDB/gbrowse/),用于存储和检索源自NGS的甲基化数据。该数据库考虑了两种胞嘧啶甲基化背景(CpG和CAG/CTG)。通过一个与MySQL后端相连的浏览器界面以及几个数据挖掘工具,用户可以搜索一组组织中的甲基化状态,获取给定染色体区域内一组组织的甲基化值,或展示不同组织中启动子的甲基化情况。NGSmethDB目前已收录了人类、小鼠和拟南芥的数据,但一旦有新数据,其他甲基化组数据将通过自动管道纳入。该数据库提供了三种覆盖水平(1、5或10条 reads)的转储下载。NGSmethDB对实验研究人员以及生物信息学家都将很有用,后者可能会将这些数据用作进一步研究的输入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26c9/3013793/57a23b994269/gkq942f1.jpg

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