Skip to content

KindLab/MAbID

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Combinatorial single-cell profiling of all major chromatin types with MAbID

Thank you for your interest in MAbID.

Table of contents

  1. mabid_pipeline
  • manual.html, containing the complete instructions to map raw MAbID data
  • bin, containing all scripts used to map raw MAbID data
  1. MAbIDR_1.0.0
  • an R package to analyse MAbID data in R
  • contains help-pages for each tool
  • installation time: 3 minutes on a 2020 Macbook
  1. demo
  • test datasets
  • Rmd and html example-code and results

Requirements

R (4.1) Cutadapt (3.0) Bowtie2 (2.2.9) samtools (1.10) scDamAndTools (1.0)

Installation

To install MAbIDR, run install.packages("MAbIDR_1.0.0.tar.gz", type="source"). This should take less then 5 minutes.

To use the mapping pipeline, run one of the file starting with mab-id_pipeline_

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 84.6%
  • R 7.7%
  • Shell 6.5%
  • Python 1.2%