Gene co-expression and transcriptional bursting pattern recognition tool in single cell/nucleus RNA-sequencing data

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License: MIT License (MIT)

Author: Arun Patil, Matthew McCall and Marc Halushka

Tags brooklyn, single cell, single nucleus, single cell-RNA, single nucleus-RNA, RNA analysis, cellxgene, RNA-seq, bioinformatics tools, co-expression, transcriptional bursting, sc-RNAseq, sn-RNAseq

Requires: Python >=3.7

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install with bioconda https://anaconda.org/bioconda/brooklyn_plot/badges/latest_release_date.svg https://anaconda.org/bioconda/brooklyn_plot/badges/downloads.svg

Brooklyn

Brooklyn plot for single cell/nuclei RNA sequencing data. This package enables a Pearson pairwise (ie., many to many) gene comparison and outputs co-expression patterns of genes across the genome. It generates a Brooklyn plot for visualization. More about this in the documentation below.

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License: MIT License (MIT)

Author: Arun Patil, Matthew McCall and Marc Halushka

Tags brooklyn, single cell, single nucleus, single cell-RNA, single nucleus-RNA, RNA analysis, cellxgene, RNA-seq, bioinformatics tools, co-expression, transcriptional bursting, sc-RNAseq, sn-RNAseq

Requires: Python >=3.7

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