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.

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

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