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• W3178245612 abstract "Abstract Motivation Genome-wide profiling of transcription factor binding and chromatin states is a widely-used approach for mechanistic understanding of gene regulation. Recent technology development has enabled such profiling at single-cell resolution. However, an end-to-end computational pipeline for analyzing such data is still lacking. Results Here, we have developed a flexible pipeline for analysis and visualization of single-cell CUT&Tag and CUT&RUN data, which provides functions for sequence alignment, quality control, dimensionality reduction, cell clustering, data aggregation and visualization. Furthermore, it is also seamlessly integrated with the functions in original CUT&RUNTools for population-level analyses. As such, this provides a valuable toolbox for the community. Availability and implementation https://github.com/fl-yu/CUT-RUNTools-2.0. Supplementary information Supplementary data are available at Bioinformatics online." @default.
• W3178245612 created "2021-07-19" @default.
• W3178245612 creator A5038587862 @default.
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• W3178245612 date "2021-07-09" @default.
• W3178245612 modified "2023-09-23" @default.
• W3178245612 title "CUT&RUNTools 2.0: a pipeline for single-cell and bulk-level CUT&RUN and CUT&Tag data analysis" @default.
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• W3178245612 doi "https://doi.org/10.1093/bioinformatics/btab507" @default.
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