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Cited by 452

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Identification of transcription factor binding sites using ATAC-seq

Open access
Li, Zhijian, Schulz, Marcel H., Look, Thomas, Begemann, Matthias, Zenke, Martin, Costa, Ivan G.·2019·Genome Biology

Abstract

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.

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Metadata

Authors
Li, Z., Schulz, M. H., Look, T., Begemann, M., Zenke, M., & Costa, I. G.
Venue
Genome Biology
Published
2019-02-26
Volume
20
Issue
1
Pages
45-45
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W2925775506
Cited by
452
References
65
FWCI
16.18
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Identification of transcription factor binding sites using ATAC-seq. https://app.cochat.ai/papers/10.1186/s13059-019-1642-2
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Li, Z., Schulz, M. H., Look, T., Begemann, M., Zenke, M., & Costa, I. G. (2019). Identification of transcription factor binding sites using ATAC-seq. Genome Biology. https://doi.org/10.1186/s13059-019-1642-2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.