ChIP-Hub provides an integrative platform for exploring plant regulome.
Liang-Yu FuTao ZhuXinkai ZhouRanran YuZhaohui HePeijing ZhangZhigui WuMing ChenKerstin KaufmannDijun ChenPublished in: Nature communications (2022)
Plant genomes encode a complex and evolutionary diverse regulatory grammar that forms the basis for most life on earth. A wealth of regulome and epigenome data have been generated in various plant species, but no common, standardized resource is available so far for biologists. Here, we present ChIP-Hub, an integrative web-based platform in the ENCODE standards that bundles >10,000 publicly available datasets reanalyzed from >40 plant species, allowing visualization and meta-analysis. We manually curate the datasets through assessing ~540 original publications and comprehensively evaluate their data quality. As a proof of concept, we extensively survey the co-association of different regulators and construct a hierarchical regulatory network under a broad developmental context. Furthermore, we show how our annotation allows to investigate the dynamic activity of tissue-specific regulatory elements (promoters and enhancers) and their underlying sequence grammar. Finally, we analyze the function and conservation of tissue-specific promoters, enhancers and chromatin states using comparative genomics approaches. Taken together, the ChIP-Hub platform and the analysis results provide rich resources for deep exploration of plant ENCODE. ChIP-Hub is available at https://biobigdata.nju.edu.cn/ChIPHub/ .
Keyphrases
- high throughput
- network analysis
- transcription factor
- single cell
- rna seq
- circulating tumor cells
- bioinformatics analysis
- electronic health record
- dna methylation
- big data
- genome wide
- gene expression
- cell wall
- squamous cell carcinoma
- quality improvement
- data analysis
- amino acid
- machine learning
- cross sectional
- oxidative stress
- electron microscopy