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Some more tweaks from the final rnaseq template merge
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ewels committed Mar 17, 2019
1 parent 283e82c commit 65f1399
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Showing 7 changed files with 11 additions and 5 deletions.
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Expand Up @@ -4,3 +4,4 @@ data/
results/
.DS_Store
tests/test_data
*.pyc
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Expand Up @@ -8,6 +8,8 @@
*/

params {
config_profile_name = 'Test profile'
config_profile_description = 'Minimal test dataset to check pipeline function'
// Limit resources so that this can run on Travis
max_cpus = 2
max_memory = 6.GB
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Expand Up @@ -39,7 +39,8 @@ Multiple reference index types are held together with consistent structure for m
We have put a copy of iGenomes up onto AWS S3 hosting and this pipeline is configured to use this by default.
The hosting fees for AWS iGenomes are currently kindly funded by a grant from Amazon.
The pipeline will automatically download the required reference files when you run the pipeline.
For more information about the AWS iGenomes, see https://ewels.github.io/AWS-iGenomes/

For more information about AWS iGenomes, see [https://ewels.github.io/AWS-iGenomes/](https://ewels.github.io/AWS-iGenomes/).

Downloading the files takes time and bandwidth, so we recommend making a local copy of the iGenomes resource.
Once downloaded, you can customise the variable `params.igenomes_base` in your custom configuration file to point to the reference location.
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Expand Up @@ -78,7 +78,9 @@ Be warned of two important points about this default configuration:
### Docker
First, install docker on your system: [Docker Installation Instructions](https://docs.docker.com/engine/installation/)

Then, running the pipeline with the option `-profile docker` tells Nextflow to enable Docker for this run. An image containing all of the software requirements will be automatically fetched and used from dockerhub (https://hub.docker.com/r/{{ cookiecutter.name_docker }}).
Then, running the pipeline with the option `-profile docker` tells Nextflow to enable Docker for this run.
An image containing all of the software requirements will be automatically fetched and used from dockerhub
([https://hub.docker.com/r/{{ cookiecutter.name_docker }}](https://hub.docker.com/r/{{ cookiecutter.name_docker }})).

### Singularity
If you're not able to use Docker then [Singularity](http://singularity.lbl.gov/) is a great alternative.
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Expand Up @@ -38,4 +38,4 @@ The pipeline has special steps which allow the software versions used to be repo
* `Project_multiqc_data/`
* Directory containing parsed statistics from the different tools used in the pipeline

For more information about how to use MultiQC reports, see http://multiqc.info
For more information about how to use MultiQC reports, see [http://multiqc.info](http://multiqc.info)
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Expand Up @@ -124,6 +124,7 @@ if(params.readPaths){
// Header log info
log.info nfcoreHeader()
def summary = [:]
if(workflow.revision) summary['Pipeline Release'] = workflow.revision
summary['Run Name'] = custom_runName ?: workflow.runName
// TODO nf-core: Report custom parameters here
summary['Reads'] = params.reads
Expand Down Expand Up @@ -358,7 +359,7 @@ workflow.onComplete {
c_green = params.monochrome_logs ? '' : "\033[0;32m";
c_red = params.monochrome_logs ? '' : "\033[0;31m";
if(workflow.success){
log.info "${c_purple}[{{ cookiecutter.name }}]${c_green} Pipeline complete${c_reset}"
log.info "${c_purple}[{{ cookiecutter.name }}]${c_green} Pipeline completed successfully${c_reset}"
} else {
checkHostname()
log.info "${c_purple}[{{ cookiecutter.name }}]${c_red} Pipeline completed with errors${c_reset}"
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Expand Up @@ -24,7 +24,6 @@ params {
help = false
igenomes_base = "./iGenomes"
tracedir = "${params.outdir}/pipeline_info"
clusterOptions = false
awsqueue = false
awsregion = 'eu-west-1'
igenomesIgnore = false
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