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CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis

Authors: Zhu, Qian; Liu, Nan; Orkin, Stuart; Yuan, Guo-Cheng;

CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis

Abstract

We introduce CUT&RUNTools as a flexible, general pipeline for facilitating the identification of chromatin-associated protein binding and genomic footprinting analysis from antibody-targeted CUT&RUN primary cleavage data. CUT&RUNTools extracts endonuclease cut site information from sequences of short read fragments and produces single-locus binding estimates, aggregate motif footprints, and informative visualizations to support the high-resolution mapping capability of CUT&RUN. CUT&RUNTools is available at https://bitbucket.org/qzhudfci/cutruntools/.

Please see the repository website http://bitbucket.org/qzhudfci/cutruntools/ for installation and usage information, and for updates. Usage information is also located in this software package. See README.md, INSTALL.md, and USAGE.md for details.

{"references": ["Zhu et al (2019) bioRxiv 10.1101/529081v1", "Bitbucket repository site: bitbucket.org/qzhudfci/cutruntools/"]}

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Keywords

https://meshb.nlm.nih.gov/record/ui?name=DNA%20Footprinting, CUT&Tag, https://meshb.nlm.nih.gov/record/ui?name=DNA-Binding%20Proteins, https://meshb.nlm.nih.gov/record/ui?name=Computational%20Biology, high-throughput sequencing, https://meshb.nlm.nih.gov/record/ui?name=Genomics, protein-DNA binding, ATAC-seq, genomic footprinting, CUT&RUN, CUT&RUN, transcription factor binding, https://meshb.nlm.nih.gov/record/ui?name=Software, chromatin, MNase, CUT&Tag, https://meshb.nlm.nih.gov/record/ui?name=Transcription%20Factors, https://meshb.nlm.nih.gov/record/ui?name=Chromatin, https://meshb.nlm.nih.gov/record/ui?name=High-Throughput%20Nucleotide%20Sequencing

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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