Hands-on introduction to ChIP-seq analysis - VIB Traininghttp://www.biologie.ens.fr/~mthomas/other/chip-seq-training/ video(A Step-by-Step Guide to ChIP-Seq Data Analysis Webinar) :http://www.abcam.com/webinars/a-step-by-step-guide-to-chip-seq-data-analysis-webinar Using ChIP-Seq to...
## https://github.com/crukci-bioinformatics/chipseq-pipeline ## https://github.com/ENCODE-DCC/chip-seq-pipeline ## Hands-on introduction to ChIP-seq analysis - VIB Training http://www.biologie.ens.fr/~mthomas/other/chip-seq-training/ ## video(A Step-by-Step Guide to ChIP-Seq Data ...
https://github.com/ENCODE-DCC/chip-seq-pipeline Hands-on introduction to ChIP-seq analysis - VIB Training http://www.biologie.ens.fr/~mthomas/other/chip-seq-training/ video(A Step-by-Step Guide to ChIP-Seq Data Analysis Webinar) : http://www.abcam.com/webinars/a-step-by-step-guide-...
测序之后的原始数据保存在 Fig.1 WorkflowofaChIP-Seqexperimentanalysis FASTQ文件里. 2.1 测序深度 测序深度是指测序得到的总碱基数与待测基因 组大小的比值. 假设一个基因组大小为2M,测序深 数据的质量控制和筛选 * 去除低质量的序列 度为10X,那么获得的总数据量就为20M. 要想对 * 去除PCR重复拷贝 ChIP-Seq...
Here, we present step-by-step guidelines for the computational analysis of ChIP-seq data. We address all the major steps in the analysis of ChIP-seq data: sequencing depth selection, quality checking, mapping, data normalization, assessment of reproducibility, peak calling, differential binding ...
Step 1 Set up and run assembly Step 2 Filter to find genes of interest Step 3 Identify relationships using gene ontology Step 4 Visualize peaks to interpret gene expression and regulation Learn more aboutChIP-Seq Data Analysis Resources
关键词:ChIP-Seq;新一代测序技术;数据分析管道中图分类号:Q81;TP391文献标识码:A IntroductionofChIP-SeqTechnologyandDataAnalysis YangWei 1 ,LiuRuoshui 2 (1.TheStateGridXujiGroup,Xuchang461000,HenanChina;2.JingyuInformationCentre,Beijing100021,China) Abstract:Chromatinimmunoprecipitationfollowedbysequencing(...
4 Conclusions Here, we assembled a large compendium of ChIP-seq/chip experiments applied to mammalian cells. We began an initial meta-analysis of such complex dataset by abstracting each experiment to a gene list. Such abstraction discards much important information such as peak height and exact ...
However, current ChIP-seq peak calling tools are not sufficiently sensitive and are unable to simultaneously identify post-translational modified TFs based on ChIP-seq analysis; this is largely due to the wide-spread presence of multiple modified TFs. Using SUMO-1 modification as an example; we ...
To further characterize the endothelium in the Substantia Nigra Brain-Chip model and to determine whether the exposure to αSyn fibrils leads to transcriptomic changes in these cells, we ran RNA-seq analysis. PCA revealed differences in the transcriptome profiles between the two conditions, i.e.,...