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VisCello for C.elegans Embryogenesis

Qin Zhu, Kim Lab, University of Pennsylvania

About VisCello.celegans

This is a tool for interactive visualization of C. elegans embryogenesis single cell data published with Packer, J.S., Zhu, Q., et al., 2019.

It has entire C. elegans embryogensis data built in, with features specifically designed for showing analysis results in the C. elegans paper, such as co-visualization of umap, lineage annotation and lineage tree.

For using VisCello for other single cell data visualization, please check https://github.com/qinzhu/VisCello.

Screenshot:

Alt text

Online version

Link: https://cello.shinyapps.io/celegans/

Bugs you found with the online tool please post to this github repo.

See also:

Installation

Please follow protocol listed below to install:

  1. Get the package by downloading from Zenodo: https://zenodo.org/record/8397398 (NOTE we no longer provide full package via github). Unzip it (keep the folder structure so that the unzipped folder name is VisCello.celegans, and inside the folder you have folders including inst/, man/, R/).

  2. Now launch R:

    R   #Launch R, Windows user open R/Rstudio, setwd() to parent folder of VisCello. 
    

    Run code below inside R:

    install.packages("devtools") 
    devtools::install_github("cysouw/qlcMatrix") # Due to recent removal of this package from CRAN
    devtools::install_local("VisCello.celegans", force=T)
    # Temporarily needed, install a version of "tidytree" package to avoid a bug in newer version
    packageurl <- "https://cran.r-project.org/src/contrib/Archive/tidytree/tidytree_0.2.4.tar.gz"
    install.packages(packageurl, repos=NULL, type="source")
    

    Now VisCello is ready to go! To launch Viscello, in R:

    library(VisCello.celegans)
    cello()
    

FAQ

Cite VisCello

Packer, J. S., Q. Zhu, C. Huynh, P. Sivaramakrishnan, E. Preston, H. Dueck, D. Stefanik, K. Tan, C. Trapnell, J. Kim, R. H. Waterston and J. I. Murray (2019). A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution. Science: eaax1971.

Q. Zhu, J. I. Murray, K. Tan, J. Kim, qinzhu/VisCello: VisCello v1.0.0 (2019; https://zenodo.org/record/3262313).