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These are instructions to install and run the workflow on command line. You can also access the workflow via the EPI2ME application.
The workflow uses Nextflow to manage compute and software resources, therefore nextflow will need to be installed before attempting to run the workflow.
The workflow can currently be run using either Docker or
Singularity to provide isolation of
the required software. Both methods are automated out-of-the-box provided
either docker or singularity is installed. This is controlled by the -profile parameter as exemplified below.
It is not required to clone or download the git repository in order to run the workflow. More information on running EPI2ME workflows can be found on our website.
The following command can be used to obtain the workflow. This will pull the repository in to the assets folder of nextflow and provide a list of all parameters available for the workflow as well as an example command:
nextflow run epi2me-labs/wf-transcriptomes -–help
A demo dataset is provided for testing of the workflow. It can be downloaded using:
wget https://ont-exd-int-s3-euwst1-epi2me-labs.s3.amazonaws.com/wf-isoforms/differential_expression.tar.gz
tar -xzvf differential_expression.tar.gz
The workflow can be run with the demo data using:
nextflow run epi2me-labs/wf-transcriptome \
--fastq differential_expression/differential_expression_fastq \
--de_analysis --ref_genome differential_expression/hg38_chr20.fa \
--transcriptome-source reference-guided \
--ref_annotation differential_expression/gencode.v22.annotation.chr20.gtf \
--direct_rna --minimap2_index_opts '-k 15' --sample_sheet differential_expression/sample_sheet.csv \
--jaffal_refBase differential_expression/chr20/ --jaffal_genome hg38_chr20 --jaffal_annotation genCode22 \
-profile standard
For further information about running a workflow on the cmd line see https://labs.epi2me.io/wfquickstart/