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CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis.
Qian Zhu1, Nan Liu2, Stuart H Orkin3,4
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Chan School of Public Health, Boston, MA, USA.
We present CUT&RUNTools, a versatile pipeline for analyzing chromatin-associated protein binding and genomic footprints using CUT&RUN sequencing data. This tool enhances high-resolution mapping by identifying cut sites and providing binding estimates and visualizations.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a common method for mapping protein-DNA interactions.
- Cleavage under minimal conditions with sonication (CUT&RUN) offers an alternative with potentially higher signal-to-noise ratios.
- Analyzing CUT&RUN data requires specialized tools to accurately identify protein binding sites and genomic footprints.
Purpose of the Study:
- To introduce CUT&RUNTools, a flexible and general bioinformatics pipeline.
- To facilitate the identification of chromatin-associated protein binding.
- To enable genomic footprinting analysis from antibody-targeted CUT&RUN primary cleavage data.
Main Methods:
- CUT&RUNTools processes short-read sequencing fragments to extract endonuclease cut site information.
- The pipeline generates single-locus binding estimates.
- It also produces aggregate motif footprints and informative visualizations.
Main Results:
- CUT&RUNTools supports the high-resolution mapping capabilities of CUT&RUN experiments.
- The software provides a comprehensive analysis of protein binding and genomic footprints.
- Visualizations aid in the interpretation of high-resolution mapping data.
Conclusions:
- CUT&RUNTools is a valuable resource for researchers studying chromatin organization and protein-DNA interactions.
- The pipeline offers a robust solution for analyzing CUT&RUN data.
- It enhances the ability to perform high-resolution mapping of epigenetic modifications and protein binding events.
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