scRNA-seq

• Tools for scRNA-seq analysis: This document lists the various tools that are currently being used for scRNA-seq analysis (and who has used/tested them) in addition to new tools that we are interested in but have yet to be tested.

• Tutorials for scRNA-seq analysis: These documents are tutorials to help you with various types of scRNA-seq analysis.

  • Single-Cell-conda.md: installing tools for scRNA-seq analysis with conda.
  • Single-Cell.md: installing tools and setting up docker for single cell rnaseq
  • rstudio_sc_docker.md: This docker image contains an rstudio installation with some helpful packages for singlecell analysis. It also includes a conda environment to deal with necessary python packages (like umap-learn).
  • Single-cell analysis workflow: tutorials walking through the steps in a single-cell RNA-seq analysis, including differential expression analysis, power analysis, and creating a SPRING interface

• Bibliography: This document lists relevant papers pertaining to scRNA-seq analysis