Awesome

demux-nf

Nextflow pipeline for demultiplexing Illumina Next-Gen sequencing data.

Usage

Clone this repository:

git clone --recursive https://github.com/NYU-Molecular-Pathology/demux-nf.git

Deployment

The included deploy recipe should be used to create a new directory for demultiplexing based on a currently existing sequencing run directory. Include arguments that describe the configuration for your sequencing run.

cd demux-nf
make deploy RUNID=170809_NB501073_0019_AH5FFYBGX3 SAMPLESHEET=SampleSheet.csv SEQTYPE=Archer

arguments:

• RUNID: the identifier given to the run by the sequencer

• SAMPLESHEET: the samplesheet required for demultiplexing with bcl2fastq

• SEQTYPE: the type of sequencing; currently only Archer or NGS580 are used

• SEQDIR: parent directory where the sequencer outputs its data (pre-configured for NYU server locations)

• PRODDIR: parent directory where demultiplexing output should be stored (pre-configured for NYU server locations)

This will first check that the specified run exists on the server before cloning into a new directory at the given production output location and configuring it for demultiplexing using the subsequent commands described here.

Run Workflow

Assuming you used make deploy or make config to prepare your demultiplexing directory, the following command can be used to automatically run the workflow based on the pre-defined settings and settings from your current system.

make run

Extra parameters to be passed to Nextflow can be supplied with the EP argument:

make run EP='--samplesheet SampleSheet.csv --runDir /path/to/sequencer/data/170809_NB501073_0019_AH5FFYBGX3'

To submit the parent Nextflow pipeline as a job on the HPC cluster:

make submit

# with a different submission queue:
make submit SUBQ=fn_long

# with a different submission time:
make submit SUBQ=cpu_long SUBTIME='--time=6-00:00:00'

For alternative run methods, consult the Makefile.

Configuration

Demultiplexing metadata for the workflow can be provided through several methods, evaluated in the following order:

• parameters can be supplied directly to Nextflow via CLI

nextflow run main.nf --runID 12345

• if the file config.json is present, non-null parameters will be retrieved

{
    "runDir": "/path/to/sequencer/data/170809_NB501073_0019_AH5FFYBGX3",
    "samplesheet": "SampleSheet.csv",
    "runID": "170809_NB501073_0019_AH5FFYBGX3"
}

• this file is generated automatically during the deploy step, using the included config.py script

• the following items in the current directory will be used if present:

  • SampleSheet.csv: default samplesheet file

  • runDir : default sequencing run source directory (can be a symlink)

  • runID.txt: a text file, the first line of which will be used as the run ID

Extras

• (re)initialize configurations (overwrites old config.json):

make config RUNDIR=/path/to/sequencer/data/170809_NB501073_0019_AH5FFYBGX3 SAMPLESHEET=SampleSheet.csv RUNID=170809_NB501073_0019_AH5FFYBGX3

• update an existing directory to the latest version of this repo:

make update

• clean up workflow intermediary files to save space (workflow cannot be resumed after this):

make finalize

• clean up output from all old workflows (saves current workflow output):

make clean

• delete the output from all workflows:

make clean-all

• mark that the demultiplexing suceeded and the results passed QC for downstream analysis:

make passed

• deploy a new NGS580 analysis using the current results:

make deploy-NGS580

• make a 'deliverables' directory with just the results for samples for a specific client

make deliverable CLIENT=somelab SHEET=list_of_clients_samples.txt

Software

Required:

• Java 8 (Nextflow)

• Python 2.7+

• GNU make

Optional; must be installed to system or available with Singularity containers:

• bcl2fastq version 2.17.1

• FastQC version 0.11.7

• R (3.3.0+, with knitr and rmarkdown libraries)

• Pandoc 1.13.1+