A basic configuration comes with the pipeline, which runs by default (the standard
config profile - see conf/base.config
). This means that you only need to configure the specifics for your system and overwrite any defaults that you want to change.
If you think that there are other people using the pipeline who would benefit from your configuration (eg. other common cluster setups), please let us know. We can add a new configuration and profile which can used by specifying
-profile <name>
when running the pipeline.
If you are the only person to be running this pipeline, you can create your config file as ~/.nextflow/config
and it will be applied every time you run Nextflow. Alternatively, save the file anywhere and reference it when running the pipeline with -c path/to/config
(see the Nextflow documentation for more).
Use this parameter to choose a configuration profile. Profiles can give configuration presets for different compute environments. Note that multiple profiles can be loaded, for example: -profile standard,docker
- the order of arguments is important!
standard
- The default profile, used if
-profile
is not specified at all. - Runs locally and expects all software to be installed and available on the
PATH
.
- The default profile, used if
singularity
- A generic configuration profile to be used with Singularity
- Pulls software from singularity-hub
docker
- A generic configuration profile to be used with Docker
- Pulls software from dockerhub:
nfcore/imp
conda
test
- A profile with a complete configuration for automated testing
- Includes links to test data so needs no other parameters
- This will copy the test configuration file into your current directory
none
- No configuration at all. Useful if you want to build your own config from scratch and want to avoid loading in the default
base
config profile (not recommended).
- No configuration at all. Useful if you want to build your own config from scratch and want to avoid loading in the default
Use this to specify the location of your input FastQ files. For example:
--reads 'path/to/data/sample_*_{1,2}.fastq'
Please note the following requirements:
- The path must be enclosed in quotes
- The path must have at least one
*
wildcard character - When using the pipeline with paired end data, the path must use
{1,2}
notation to specify read pairs.
If left unspecified, a default pattern is used: data/*{1,2}.fastq.gz
By default, the pipeline expects paired-end data. If you have single-end data, you need to specify --singleEnd
on the command line when you launch the pipeline. A normal glob pattern, enclosed in quotation marks, can then be used for --reads
. For example:
--singleEnd --reads '*.fastq'
It is not possible to run a mixture of single-end and paired-end files in one run.
The pipeline config files come bundled with paths to the illumina iGenomes reference index files. If running with docker or AWS, the configuration is set up to use the AWS-iGenomes resource.
There are 31 different species supported in the iGenomes references. To run the pipeline, you must specify which to use with the --genome
flag.
You can find the keys to specify the genomes in the iGenomes config file. Common genomes that are supported are:
- Human
--genome GRCh37
- Mouse
--genome GRCm38
- Drosophila
--genome BDGP6
- S. cerevisiae
--genome 'R64-1-1'
There are numerous others - check the config file for more.
Note that you can use the same configuration setup to save sets of reference files for your own use, even if they are not part of the iGenomes resource. See the Nextflow documentation for instructions on where to save such a file.
The syntax for this reference configuration is as follows:
params {
genomes {
'GRCh37' {
fasta = '<path to the genome fasta file>' // Used if no star index given
}
// Any number of additional genomes, key is used with --genome
}
}
If you prefer, you can specify the full path to your reference genome when you run the pipeline:
--fasta '[path to Fasta reference]'
Each step in the pipeline has a default set of requirements for number of CPUs, memory and time. For most of the steps in the pipeline, if the job exits with an error code of 143
(exceeded requested resources) it will automatically resubmit with higher requests (2 x original, then 3 x original). If it still fails after three times then the pipeline is stopped.
Wherever process-specific requirements are set in the pipeline, the default value can be changed by creating a custom config file. See the files in conf
for examples.
Running the pipeline on AWS Batch requires a couple of specific parameters to be set according to your AWS Batch configuration. Please use the -awsbatch
profile and then specify all of the following parameters.
The JobQueue that you intend to use on AWS Batch.
The AWS region to run your job in. Default is set to eu-west-1
but can be adjusted to your needs.
Please make sure to also set the -w/--work-dir
and --outdir
parameters to a S3 storage bucket of your choice - you'll get an error message notifying you if you didn't.
The output directory where the results will be saved.
Set this parameter to your e-mail address to get a summary e-mail with details of the run sent to you when the workflow exits. If set in your user config file (~/.nextflow/config
) then you don't need to speicfy this on the command line for every run.
Name for the pipeline run. If not specified, Nextflow will automatically generate a random mnemonic.
NB: Single hyphen (core Nextflow option)
Specify this when restarting a pipeline. Nextflow will used cached results from any pipeline steps where the inputs are the same, continuing from where it got to previously.
You can also supply a run name to resume a specific run: -resume [run-name]
. Use the nextflow log
command to show previous run names.
NB: Single hyphen (core Nextflow option)
Specify the path to a specific config file (this is a core NextFlow command).
NB: Single hyphen (core Nextflow option)
Use to set a top-limit for the default memory requirement for each process. Should be a string in the format integer-unit. eg. `--max_memory '8.GB'``
Use to set a top-limit for the default time requirement for each process.
Should be a string in the format integer-unit. eg. --max_time '2.h'
Use to set a top-limit for the default CPU requirement for each process.
Should be a string in the format integer-unit. eg. --max_cpus 1
Set to receive plain-text e-mails instead of HTML formatted.