nf-core/epitopeprediction
A bioinformatics best-practice analysis pipeline for epitope prediction and annotation
1.0.0
). The latest
stable release is
2.3.1
.
Introduction
nf-core/epitopeprediction is a bioinformatics best-practice analysis pipeline for epitope prediction and annotation.
Pipeline steps
- Input
- Transcripts
- Prediction
The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.
Quick Start
i. Install nextflow
ii. Install one of docker
, singularity
or conda
iii. Download the pipeline and test it on a minimal dataset with a single command
Please check nf-core/configs to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use
-profile institute
in your command. This will enable eitherdocker
orsingularity
and set the appropriate execution settings for your local compute environment.
iv. Start running your own analysis!
See usage docs for all of the available options when running the pipeline.
Documentation
The nf-core/epitopeprediction pipeline comes with documentation about the pipeline, found in the docs/
directory:
- Installation
- Pipeline configuration
- Running the pipeline
- Output and how to interpret the results
- Troubleshooting
Contributions and Support
If you would like to contribute to this pipeline, please see the contributing guidelines.
For further information or help, don’t hesitate to get in touch on Slack (you can join with this invite).
Citation
nf-core/epitopeprediction was originally written by Christopher Mohr and Alexander Peltzer.
You can cite the nf-core
pre-print as follows:
Ewels PA, Peltzer A, Fillinger S, Alneberg JA, Patel H, Wilm A, Garcia MU, Di Tommaso P, Nahnsen S. nf-core: Community curated bioinformatics pipelines. bioRxiv. 2019. p. 610741. doi: 10.1101/610741.