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<img src="img/logo.svg" width="30%" align="right" /> Millefy
Millefy is a tool for visualizing read coverage of single-cell RNA sequensing (scRNA-seq) datasets in genomic contexts. By dynamically and automatically reorder single cells based on 'locus-specific' pseudotime, Millefy highlights cell-to-cell heterogeneity in read covreage of scRNA-seq data.
Millefy is available as an R package and a Docker image with JupyterLab.
Example of millefy plot
<img src="img/Pou5f1.png" width="100%" />Getting started
Installation
install.packages(c("data.table", "dtplyr", "proxy", "viridisLite"), dependencies=TRUE)
# For R < 3.5.0 users
source("https://bioconductor.org/biocLite.R"); biocLite()
biocLite(c('Rsamtools', 'GenomicRanges', 'rtracklayer', 'destiny'))
# For R >= 3.5.0 users
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(c('Rsamtools', 'GenomicRanges', 'rtracklayer', 'destiny'))
devtools::install_github("yuifu/millefy")
Requirements
- R (version 3.2.2 or higher)
Quick example
To quickly learn to use Millefy, try out Quick example with the included example dataset.
Learning more
See Tutorial for details.