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Nextflow RNA-Seq Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.

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NGI-RNAseq

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Introduction

NGI-RNAseq is a bioinformatics best-practice analysis pipeline used for RNA sequencing data 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.

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.

Documentation

The NGI-RNAseq pipeline comes with documentation about the pipeline, found in the docs/ directory:

  1. Installation and configuration
  2. Running the pipeline
  3. Output and how to interpret the results

If you're interested in running the pipeline in the cloud, please read the docs about using the pipeline with Amazon Web Services.

Credits

These scripts were written for use at the National Genomics Infrastructure at SciLifeLab in Stockholm, Sweden. The pipeline was developed by Phil Ewels (@ewels) and Rickard Hammarén (@Hammarn). Docker and AWS integration was led by Denis Moreno (@Galithil) and Phil Ewels (@ewels).


SciLifeLab National Genomics Infrastructure


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Nextflow RNA-Seq Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.

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