AlaaALatif / sc_rna_seq

A repository containing usable code for processing and analysis of single-cell RNAseq data

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sc_rna_seq

A repository containing usable code for processing and analysis of single-cell RNAseq data.

Pre-requisites

Usage of this code expects familiarity with the following:

  • Linux/Unix command-line system
  • R programming language
  • computational single-cell RNA sequencing analysis

As of now, the constituent scripts (src/quality_control.R) expects the user to have completed pre-processing of the raw FASTQ files using cellranger and thus, to have generated files corresponding to the:

  • filtered cell-by-gene count data
  • raw count data
  • cluster assignments of each cell generated by cellranger

Installation

Prior to using the code in this repository, the user is expected to have the following installed in their computing environment:

  • R programming language
  • the following R packages
    • jsonlite
    • ggplot2
    • tidyverse
    • Matrix
    • Seurat
    • SeuratObject
    • scales
    • harmony
    • cowplot
    • purrr
    • plyr
    • patchwork
    • SoupX
    • DoubletFinder

Usage

  • open the configuration file cfg/quality_control.json
  • specify all the required parameters
  • save the configuration file
  • run the QC script
Rscript src/quality_control.R

Authors

Al Latif

About

A repository containing usable code for processing and analysis of single-cell RNAseq data

License:MIT License


Languages

Language:R 100.0%