CRISPr screen sequencing analysis pipelINe
formerly known as CRUISE
🚧 This project is under active development. It is not yet ready for production use. 🚧
CRISPIN is installed on the Biowulf HPC. For installation in other execution environments, refer to the docs.
CRISPIN is available on Biowulf in the ccbrpipeliner
module.
You'll first need to start an interactive session and create a directory from where you'll run crispin.
# start an interactive node
sinteractive --mem=2g --cpus-per-task=2 --gres=lscratch:200
# make a working directory for your project and go to it
mkdir -p /data/$USER/crisprseq
cd /data/$USER/crisprseq
# load the ccbrpipeliener module
module load ccbrpipeliner
Initialize and run crispin with test data:
# copy the crispin config files to your current directory
crispin init
# preview the crispin jobs that will run with the test dataset
crispin run --mode local -profile test -preview
# launch a crispin run on slurm with the test dataset
crispin run --mode slurm -profile test,biowulf
To run CRISPIN on your own data, you'll need to create a sample sheet. Take a look at the example: assets/samplesheet_test_biowulf.csv.
You'll also need to select an appropriate library for your dataset.
CRISPIN is bundled with several libraries in assets/lib,
or you can download your own.
Once you've created a samplesheet with paths to your fastq files,
run crispin with the --input
option to specify the path to your sample sheet
and --library
for the path to your library file:
crispin run --mode slurm -profile biowulf --input samplesheet.csv --library assets/lib/yusa_library.csv
Come across a bug? Open an issue and include a minimal reproducible example.
Have a question? Ask it in discussions.
Want to contribute to this project? Check out the contributing guidelines.
This repo was originally generated from the CCBR Nextflow Template. The template takes inspiration from nektool1 and the nf-core template. If you plan to contribute your pipeline to nf-core, don't use this template -- instead follow nf-core's instructions2.
Footnotes
-
instructions for nf-core pipelines https://nf-co.re/docs/contributing/tutorials/creating_with_nf_core ↩