OpenAnnotate
OpenAnnotate annotates chromatin accessibility across genomic regions to identify active DNA regulatory elements and support studies of gene regulation.
Key Features:
- Comprehensive reference profiles: Aggregates chromatin accessibility profiles from 2729 datasets covering 614 human and mouse biosample types.
- Annotation of genomic openness: Quantifies and annotates chromatin accessibility across diverse biosample types, tissues, and biological systems.
- Preprocessing of high-frequency data: Performs elaborate preprocessing of high-frequency chromatin accessibility data to generate standardized input.
- Ultra-efficient computation: Employs sophisticated multithreaded programming tailored to preprocessed chromatin accessibility data to accelerate processing.
- High-performance computing support: Utilizes high-performance computing resources to maximize throughput for large-scale annotation tasks.
Scientific Applications:
- Cell type-specificity analysis: Reveals cell type-specific chromatin accessibility patterns.
- Regulatory element and 3D contact identification: Identifies DNA regulatory elements and associated 3D chromatin contacts.
- Gene functional relationship inference: Deciphers gene functional relationships from accessibility patterns.
- Transcription factor function inference: Infers transcription factor functions based on accessibility signatures.
- Single-cell data analysis enhancement: Advances analysis of single-cell chromatin accessibility data.
Methodology:
Elaborate preprocessing of high-frequency chromatin accessibility data followed by analysis using preprocessed chromatin accessibility data with multithreaded programming and high-performance computing resources.
Topics
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- C++, Shell
- Added:
- 11/1/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Chen S, Liu Q, Cui X, Feng Z, Li C, Wang X, Zhang X, Wang Y, Jiang R. OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions. Nucleic Acids Research. 2021;49(W1):W483-W490. doi:10.1093/nar/gkab337. PMID:33999180. PMCID:PMC8262705.
DOI: 10.1093/nar/gkab337
PMID: 33999180
PMCID: PMC8262705
Funding: - National Key Research and Development Program of China: 2018YFC0910404
- National Natural Science Foundation of China: 11871463, 12025107, 61573207, 61721003, 61873141, 62003178
Links
Issue tracker
https://github.com/RJiangLab/OpenAnnotate/issues