1. Alignment:
Note
If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with -profile test before running the workflow on actual data.
First, prepare a samplesheet with your input data that looks as follows:
samplesheet.csv:
sample,lane,fastq_1,fastq_2,sex,phenotype,paternal_id,maternal_id,case_id
hugelymodelbat,1,reads_1.fastq.gz,reads_2.fastq.gz,1,2,,,justhuskyEach row represents a fastq file (single-end) or a pair of fastq files (paired end).
Second, ensure that you have defined the path to reference files and parameters required for the type of analysis that you want to perform. More information about this can be found here.
Now, you can run the pipeline using:
nextflow run nf-core/raredisease \
-profile <docker/singularity/podman/shifter/charliecloud/conda/institute> \
--input samplesheet.csv \
--outdir <OUTDIR>Warning
Please provide pipeline parameters via the CLI or Nextflow -params-file option. Custom config files including those provided by the -c Nextflow option can be used to provide any configuration except for parameters;
see docs.
You can cite the nf-core publication as follows:
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.
You can read more about MIP's use in healthcare in,
Stranneheim H, Lagerstedt-Robinson K, Magnusson M, et al. Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients. Genome Med. 2021;13(1):40. doi:10.1186/s13073-021-00855-5