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Benchmarking of single-cell ATAC sequencing tools

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A systematic examination of eight different single-cell assay for transposase-accessible chromatin by sequencing (scATAC-seq) technologies revealed marked differences in the complexity of sequencing libraries and the specificity of DNA tagmentation that they achieve. Our pipeline for universal mapping of scATAC-seq data (PUMATAC) allowed a fair benchmarking of existing methods and enables the seamless integration of future datasets and technologies.

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Fig. 1: Study and analysis pipeline design.

References

  1. Janssens, J. & Aerts, S. Decoding gene regulation in the fly brain. Nature 601, 630–636 (2022). A study using scATAC-seq to unravel the interplay between transcription factors, enhancers and target genes in the developing Drosophila melanogaster brain.

    Article  CAS  PubMed  Google Scholar 

  2. Corces, M. R. & Chang, H. Y. Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Nat. Biotechnol. 37, 1458–1465 (2019). A study that uses scATAC-seq to map healthy blood development and identifies both shared and unique epigenetic signatures in acute leukemia.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Domcke, S. & Shendure, J. A human cell atlas of fetal chromatin accessibility. Science 370, eaba7612 (2020). A study of chromatin landscapes in fetal organs to determine organ-specific gene regulatory elements.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Mereu, E. & Heyn, H. Benchmarking single-cell RNA-sequencing protocols for cell atlas projects. Nat. Biotechnol. 38, 747–755 (2020). An article that comprehensively benchmarks single-cell RNA sequencing methods.

    Article  CAS  PubMed  Google Scholar 

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This is a summary of: De Rop, F. V. et al. Systematic benchmarking of single-cell ATAC-sequencing protocols. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-01881-x (2023).

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Benchmarking of single-cell ATAC sequencing tools. Nat Biotechnol (2023). https://doi.org/10.1038/s41587-023-01897-3

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  • DOI: https://doi.org/10.1038/s41587-023-01897-3

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