knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
The Repsc R package is a beta development version to facilitate expression analysis of transposable elements at single-cell resolution.
The basic workflow consists of importing genome annotation/sequencing reads, curating TE and gene intervals, counting overlaps, and generating the single-cell matrix. Repsc supports a wide range of protocols, including 5'/3' and full-coverage based methods, but for unambiguous assignment of reads to de-repressed TE loci we recommend 5' based protocols:
knitr::include_graphics('docs/reference/figures/schematic.png')
More details on the usage of Repsc is available in the package vignette.
# Install BiocManager (in case you haven't already) if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # Install Remotes (in case you haven't already) if (!requireNamespace("remotes", quietly = TRUE)) install.packages("remotes") # Install Repsc remotes::install_github('tanaylab/repsc')
Note: Repsc requires R version 3.5 or higher. The package was tested on linux. We are working on reducing memory usage, but currently a typical application will require at least 12 GB RAM, but heavier use cases (e.g. large BAM files) may require significantly more. For improved speed performance, we recommend a multi-CPU/core workstation, or ideally a HPC infrastructure.
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