Name: NGI-MethylSeq
Owner: Science For Life Laboratory
Description: Methylation (Bisulfite-Sequencing) Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.
Created: 2016-06-08 14:00:43.0
Updated: 2017-09-08 03:08:57.0
Pushed: 2017-12-20 09:33:36.0
Homepage: null
Size: 2025
Language: Groovy
GitHub Committers
| User | Most Recent Commit | # Commits |
|---|---|---|
| Phil Ewels | 2018-03-12 16:16:13.0 | 208 |
| Alexander Peltzer | 2018-01-29 14:40:42.0 | 4 |
| Rickard Hammarén | 2016-10-17 15:15:13.0 | 46 |
Other Committers
| User | Most Recent Commit | # Commits |
|---|
NGI-MethylSeq is a bioinformatics best-practice analysis pipeline used for Methylation (BS-Seq) data analysis at the National Genomics Infastructure at SciLifeLab Stockholm, Sweden.
The pipeline uses Nextflow, a bioinformatics workflow tool. It pre-processes raw data from FastQ inputs, aligns the reads and performs extensive quality-control on the results.
There are two separate workflows contained in this repository - one using Bismark and one using bwa-meth / MethylDackel. The Bismark pipeline is being actively developed and maintained, the bwa-meth workflow is not (currently). The Nextflow manifest specifies the Bismark pipeline as the default workflow, so the bwa-meth script will be ignored unless explicitly run.
This pipeline is primarily used with a SLURM cluster on the Swedish UPPMAX systems. However, the pipeline should be able to run on any system that Nextflow supports. We have done some limited testing using Docker and AWS, and the pipeline comes with some configuration for these systems. See the installation docs for more information.
The NGI-MethylSeq pipeline comes with documentation about the pipeline, found in the docs/ directory:
If you're interested in running the pipeline in the cloud, please read the docs about using our pipeline with Amazon Web Services on the NGI-RNAseq pipeline (the instructions should work with this pipeline as well).
These scripts were written for use at the National Genomics Infrastructure at SciLifeLab in Stockholm, Sweden. Written by Phil Ewels (@ewels) and Rickard Hammarén (@Hammarn).
