Skip to content

A nextflow pipeline for analysis and visualisation of NGS data using FastQC and Python Ploty Dash.

Notifications You must be signed in to change notification settings

vickylaram/NGSeq_Quality_Visualization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

61 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NGSeq_Quality_Visualization

  1. Make sure you have Java and Python installed.
  2. Clone this repository to your desired location.
  3. Make scripts executable with chmod +x ./setup.sh && chmod +x ./run.sh
  4. Run setup.sh first to download all needed tools and setup directory structures. You only need to run it once.
  5. Afterwards, run run.sh for the actual pipeline. You need to provide --input for the raw fastq.gz data.
  6. Find the analyses of your data at 127.0.0.1:8000 or localhost:8000

About

A nextflow pipeline for analysis and visualisation of NGS data using FastQC and Python Ploty Dash.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published