4.8 Article

OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions

Journal

NUCLEIC ACIDS RESEARCH
Volume 49, Issue W1, Pages W483-W490

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab337

Keywords

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Funding

  1. National Key Research and Development Program of China [2018YFC0910404]
  2. National Natural Science Foundation of China [61873141, 61721003, 61573207, 62003178, 12025107, 11871463]

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OpenAnnotate is the first web server developed to efficiently annotate openness of massive genomic regions across various biosample types, tissues, and biological systems. It provides user-friendly functionalities, ultra-efficient calculation, real-time browsing, and intuitive visualization.
Chromatin accessibility, as a powerful marker of active DNA regulatory elements, provides valuable information for understanding regulatory mechanisms. The revolution in high-throughput methods has accumulated massive chromatin accessibility profiles in public repositories. Nevertheless, utilization of these data is hampered by cumbersome collection, time-consuming processing, and manual chromatin accessibility (openness) annotation of genomic regions. To fill this gap, we developed OpenAnnotate(http://health.tsinghua.edu.cn/ openannotate/) as the first web server for efficiently annotating openness of massive genomic regions across various biosample types, tissues, and biological systems. In addition to the annotation resource from 2729 comprehensive profiles of 614 biosample types of human and mouse, OpenAnnotate provides user-friendly functionalities, ultra-efficient calculation, real-time browsing, intuitive visualization, and elaborate application notebooks. We show its unique advantages compared to existing databases and toolkits by effectively revealing cell type-specificity, identifying regulatory elements and 3D chromatin contacts, deciphering gene functional relationships, inferring functions of transcription factors, and unprecedentedly promoting single-cell data analyses. We anticipate OpenAnnotate will provide a promising avenue for researchers to construct a more holistic perspective to understand regulatory mechanisms.

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