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通过 ChIP 测序获得的谱的质量控制系统。

A quality control system for profiles obtained by ChIP sequencing.

机构信息

Department of Cancer Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC)/CNRS/INSERM/Université de Strasbourg, BP 10142, 67404 Illkirch Cedex, France.

出版信息

Nucleic Acids Res. 2013 Nov;41(21):e196. doi: 10.1093/nar/gkt829. Epub 2013 Sep 14.

Abstract

The absence of a quality control (QC) system is a major weakness for the comparative analysis of genome-wide profiles generated by next-generation sequencing (NGS). This concerns particularly genome binding/occupancy profiling assays like chromatin immunoprecipitation (ChIP-seq) but also related enrichment-based studies like methylated DNA immunoprecipitation/methylated DNA binding domain sequencing, global run on sequencing or RNA-seq. Importantly, QC assessment may significantly improve multidimensional comparisons that have great promise for extracting information from combinatorial analyses of the global profiles established for chromatin modifications, the bindings of epigenetic and chromatin-modifying enzymes/machineries, RNA polymerases and transcription factors and total, nascent or ribosome-bound RNAs. Here we present an approach that associates global and local QC indicators to ChIP-seq data sets as well as to a variety of enrichment-based studies by NGS. This QC system was used to certify >5600 publicly available data sets, hosted in a database for data mining and comparative QC analyses.

摘要

缺乏质量控制 (QC) 系统是下一代测序 (NGS) 生成的全基因组图谱进行比较分析的主要弱点。这特别涉及到基因组结合/占据分析,如染色质免疫沉淀 (ChIP-seq),但也涉及到相关的基于富集的研究,如甲基化 DNA 免疫沉淀/甲基化 DNA 结合域测序、全局运行测序或 RNA-seq。重要的是,QC 评估可以显著改善多维比较,这对于从建立的染色质修饰、表观遗传和染色质修饰酶/机器、RNA 聚合酶和转录因子的结合以及总、新生或核糖体结合 RNA 的全球图谱的组合分析中提取信息具有很大的前景。在这里,我们提出了一种方法,将全局和局部 QC 指标与 ChIP-seq 数据集以及各种基于 NGS 的富集研究相关联。该 QC 系统已用于验证 >5600 个公共可用数据集,这些数据集托管在一个数据库中,用于数据挖掘和比较 QC 分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a26/3834836/6823d77b42fe/gkt829f1p.jpg

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