公开知识文档

Identification of transcription factor binding sites using ATAC-seq.

Transposase-Accessible Chromatin followed by sequencing (ATAC-seq) is a simple protocol for detection of open chromatin. Computational footprinting, the search for regions with depletion of cleavage events due to transcription factor binding, is poorly understood for ATAC-seq. We propose the first footprinting method considering ATAC-seq protocol artifacts. HINT-ATAC uses a position dependency model to learn the cleavage preferences of the transposase. We observe strand-specific cleavage patterns around transcription factor binding sites, which are determined by local nucleosome architecture. By incorporating all these biases, HINT-ATAC is able to significantly outperform competing methods in the prediction of transcription factor binding sites with footprints.

Identification of transcription factor binding sites using ATAC-seq.

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

  • 引用:Li Z, Schulz MH, Look T, Begemann M, Zenke M, Costa IG. (2019). Identification of transcription factor binding sites using ATAC-seq. Genome biology. PMID 30808370 · PMC6391789 · DOI 10.1186/s13059-019-1642-2
  • 证据类型:BENCHMARK
  • 主题:epigenomics
  • 被引次数(采集时):414
  • 原始记录:[Europe PMC](https://europepmc.org/article/MED/30808370)
  • 来源许可:[CC-BY](https://creativecommons.org/licenses/by/)
  • 作者摘要(按来源许可复用)

    Transposase-Accessible Chromatin followed by sequencing (ATAC-seq) is a simple protocol for detection of open chromatin. Computational footprinting, the search for regions with depletion of cleavage events due to transcription factor binding, is poorly understood for ATAC-seq. We propose the first footprinting method considering ATAC-seq protocol artifacts. HINT-ATAC uses a position dependency model to learn the cleavage preferences of the transposase. We observe strand-specific cleavage patterns around transcription factor binding sites, which are determined by local nucleosome architecture. By incorporating all these biases, HINT-ATAC is able to significantly outperform competing methods in the prediction of transcription factor binding sites with footprints.

    合规说明

    本页保存的是来源文献书目信息及其在 CC-BY 许可下公开的作者摘要。除去除来源 HTML 标签和规范化空白外,摘要未作内容改写。本页不代表 GeniOmics 的医学建议;原文版权、署名和许可仍归原权利人,请通过原始记录核对最新版本、更正或撤稿状态。

    Identification of transcription factor binding sites using ATAC-seq. · GeniOmics