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. 2020 Apr 1;36(7):2291-2292.
doi: 10.1093/bioinformatics/btz907.

schex avoids overplotting for large single-cell RNA-sequencing datasets

Saskia Freytag  1 , Ryan Lister  1   2
Affiliations

schex avoids overplotting for large single-cell RNA-sequencing datasets

Saskia Freytag et al. Bioinformatics. .

Abstract

Summary: Due to the scale and sparsity of single-cell RNA-sequencing data, traditional plots can obscure vital information. Our R package schex overcomes this by implementing hexagonal binning, which has the additional advantages of improving speed and reducing storage for resulting plots.

Availability and implementation: schex is freely available from Bioconductor via http://bioconductor.org/packages/release/bioc/html/schex.html and its development version can be accessed on GitHub via https://github.com/SaskiaFreytag/schex.

Supplementary information: Supplementary data are available at Bioinformatics online.

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