Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS UMR 7104, INSERM U 596, Université de Strasbourg, BP 10142-67404 ILLKIRCH Cedex, CU de Strasbourg, France.
Nucleic Acids Res. 2011 Mar;39(6):e35. doi: 10.1093/nar/gkq1287. Epub 2010 Dec 21.
In a single experiment, chromatin immunoprecipitation combined with high throughput sequencing (ChIP-seq) provides genome-wide information about a given covalent histone modification or transcription factor occupancy. However, time efficient bioinformatics resources for extracting biological meaning out of these gigabyte-scale datasets are often a limiting factor for data interpretation by biologists. We created an integrated portable ChIP-seq data interpretation platform called seqMINER, with optimized performances for efficient handling of multiple genome-wide datasets. seqMINER allows comparison and integration of multiple ChIP-seq datasets and extraction of qualitative as well as quantitative information. seqMINER can handle the biological complexity of most experimental situations and proposes methods to the user for data classification according to the analysed features. In addition, through multiple graphical representations, seqMINER allows visualization and modelling of general as well as specific patterns in a given dataset. To demonstrate the efficiency of seqMINER, we have carried out a comprehensive analysis of genome-wide chromatin modification data in mouse embryonic stem cells to understand the global epigenetic landscape and its change through cellular differentiation.
在单个实验中,染色质免疫沉淀结合高通量测序(ChIP-seq)可提供关于特定共价组蛋白修饰或转录因子占据的全基因组信息。然而,从这些千兆字节规模的数据集中提取生物学意义的高效生物信息学资源往往是生物学家进行数据解释的一个限制因素。我们创建了一个名为 seqMINER 的集成便携式 ChIP-seq 数据解释平台,该平台具有优化的性能,可高效处理多个全基因组数据集。seqMINER 允许比较和整合多个 ChIP-seq 数据集,并提取定性和定量信息。seqMINER 可以处理大多数实验情况下的生物学复杂性,并为用户提供根据分析特征对数据进行分类的方法。此外,通过多种图形表示,seqMINER 允许在给定数据集中可视化和建模一般和特定模式。为了展示 seqMINER 的效率,我们对小鼠胚胎干细胞中的全基因组染色质修饰数据进行了全面分析,以了解全局表观遗传景观及其通过细胞分化的变化。