Welcome to Pipeliner - an open-source and scalable solution to NGS analysis powered by the NIH's Biowulf cluster.
Pipeliner provides access to a set of best-practices NGS pipelines developed, tested, and benchmarked by experts at CCBR and NCBR. This wiki is the main source of documentation for users and developers working with or contributing to Pipeliner
. If you are unfamiliar with Pipeliner or this is the first time hearing about this project, please check out the links below.
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Getting Started | Project & Community | FAQs | Pipeline Documentation |
Introducing Pipeliner, prerequisites and how to get started | About our community, how to contribute and make feature requests | Frequently asked questions and solutions to common problems | Detailed technical documentation for users and developers about each of our pipelines |
Please check out our FAQ or contact page for different ways of getting in touch with the team.
- Introduction
1.1 Theory and practical guide to RNA-seq
1.2 Supported Reference Genomes
1.3 Tools and Versions
1.3.1 Quantification and QC pipeline
1.3.2 Differential Expression pipeline - Overview
2.1 Quantification and QC pipeline
2.2 Differential Expression pipeline - Tutorial
3.1 Quantification and QC pipeline - TLDR
4.1 Launch Pipeliner
4.1 Run the Quantification and QC pipeline - References
- Getting started with the Quality-control pipeline
- About the Demo Dataset
- Tutorial
3.1 Step 0. Fill out theProject Information
section
3.2 Step 1. SettingPipeline
3.3 Step 2. SelectGenome
3.4 Step 3. Select your Data Directory
3.5 Step 4. Select your Working Directory
3.6 Step 5. Initialize your Working Directory
3.7 Step 6. Set Peak information
3.8 Step 7. Perform Dry Run
3.9 Step 8. Run - Check progress
- Confirm successful completion of Phase 1
- Output files and directory structure
- Tools and Versions
7.1 Quality control assessment tools
7.2 Data processing tools
- Phase 2: Peak calling, differential peak calling, annotations, and motif searches
1.1 Step 1. Initial Setup
1.2 Step 2. Select Pipeline Options
1.3 Step 3. Set contrasts (Optional)
1.4 Step 4. Perform Dry Run
1.5 Step 5. Run - Check progress
- Output files and directory structure