wf-transcriptomes-v202/README.md
2021-02-09 15:33:58 +00:00

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# Workflow template
This repository contains a Nextflow workflow template and associated Docker
container build. The workflow also supports using conda environments as an
alternative software isolation method to Docker.
## Quickstart
### Building the container
> This step is not necessary if you intend to run the workflow using
> conda environments.
The Docker container image can be built with the following command:
```bash
CONTAINER_TAG=ontresearch/template-workflow
docker build \
-t ${CONTAINER_TAG} -f Dockerfile \
--build-arg BASEIMAGE=ontresearch/base-workflow-image:v0.1.0 \
.
```
The `BASEIMAGE` argument here can be changed to use an alternative image.
### Running the workflow
The template includes a simple workflow that outputs a file with the lengths
of sequences contained in a .fastq.gz file.
**Running the workflow with Docker containers**
To run the workflow using Docker containers supply the `-profile standard`
argument to `nextflow run`:
```
OUTPUT=template-workflow
nextflow run workflow.nf \
-w ${OUTPUT}/workspace \
-profile standard \
--reads test_data/reads.fq.gz \
--out_dir ${OUTPUT}
```
The output of the pipeline will be found in `./template-workflow` for the above
example. This directory contains the nextflow working directories alongside
the two primary outputs of the pipeline.
**Using conda environments**
To run the workflow backed by conda environments, simply provide the
`-profile conda` argument to `nextflow run`.
```
# run the pipeline with the test data
OUTPUT=template-workflow
nextflow run workflow.nf \
-w ${OUTPUT}/workspace \
-profile conda \
--reads test_data/reads.fq.gz \
--out_dir ${OUTPUT}
```
This will create a conda environment with all required software within the
workspace directory. When running multiple analyses on distinct datasets
it may not be desirable to have Nextflow create a conda environment for each
analysis. To avoid the situation editing the file `nextflow.config` will
be necessary. Search for the term `cacheDir` and set this to a directory
where you wish the conda environment to be placed.