exome-seek run
¶
1. About¶
The exome-seek
executable is composed of several inter-related sub commands. Please see exome-seek -h
for all available options.
This part of the documentation describes options and concepts for exome-seek run
sub command in more detail. With minimal configuration, the run
sub command enables you to start running exome-seek pipeline.
Setting up the exome-seek pipeline is fast and easy! In its most basic form, exome-seek run
only has four required inputs.
2. Synopsis¶
$ ./exome-seek run [--help] \
[--mode {local, slurm}] \
[--job-name JOB_NAME] \
[--callers {mutect2,mutect,strelka, ...}] \
[--pairs PAIRS] \
[--ffpe] \
[--cnv] \
[--dry-run] \
[--silent] \
[--singularity-cache SINGULARITY_CACHE] \
[--sif-cache SIF_CACHE] \
[--threads THREADS] \
--input INPUT [INPUT ...] \
--output OUTPUT \
--genome {hg38, ...} \
--targets TARGETS
The synopsis for each command shows its parameters and their usage. Optional parameters are shown in square brackets.
A user must provide a list of FastQ or BAM files (globbing is supported) to analyze via --input
argument, an output directory to store results via --output
argument, an exome targets BED file for the samples' capture kit, and select reference genome for alignment and annotation via the --genome
argument.
Use you can always use the -h
option for information on a specific command.
2.1 Required Arguments¶
Each of the following arguments are required. Failure to provide a required argument will result in a non-zero exit-code.
--input INPUT [INPUT ...]
Input FastQ or BAM file(s) to process.
type: file(s)One or more FastQ files can be provided. The pipeline does NOT support single-end WES data. Please provide either a set of FastQ files or a set of BAM files. The pipeline does NOT support processing a mixture of FastQ files and BAM files. From the command-line, each input file should seperated by a space. Globbing is supported! This makes selecting FastQ files easy. Input FastQ files should be gzipp-ed.
Example:
--input .tests/*.R?.fastq.gz
--output OUTPUT
Path to an output directory.
type: pathThis location is where the pipeline will create all of its output files, also known as the pipeline's working directory. If the provided output directory does not exist, it will be initialized automatically.
Example:
--output /data/$USER/WES_hg38
--genome {hg38, custom.json}
Reference genome.
type: string/fileThis option defines the reference genome for your set of samples. On Biowulf, exome-seek does comes bundled with pre built reference files for human samples; however, it is worth noting that the pipeline does accept a pre-built resource bundle pulled with the cache sub command (coming soon). Currently, the pipeline only supports the human reference hg38; however, support for mouse reference mm10 will be added soon.
Pre built Option
Here is a list of available pre built genomes on Biowulf: hg38.Custom Option
For users running the pipeline outside of Biowulf, a pre-built resource bundle can be pulled with the cache sub command (coming soon). Please supply the custom reference JSON file that was generated by the cache sub command.Example:
--genome hg38
OR--genome /data/${USER}/hg38/hg38.json
--targets TARGETS
Exome targets BED file.
type: fileThis file can be obtained from the manufacturer of the target capture kit that was used.
Example:
--targets /data/$USER/Agilent_SSv7_allExons_hg38.bed
2.2 Options¶
Each of the following arguments are optional and do not need to be provided.
-h, --help
Display Help.
type: boolean flagShows command's synopsis, help message, and an example command
Example:
--help
--dry-run
Dry run the pipeline.
type: boolean flagDisplays what steps in the pipeline remain or will be run. Does not execute anything!
Example:
--dry-run
--silent
Silence standard output.
type: boolean flagReduces the amount of information directed to standard output when submitting master job to the job scheduler. Only the job id of the master job is returned.
Example:
--silent
--mode {local,slurm}
Execution Method.
type: string
default: slurmExecution Method. Defines the mode or method of execution. Vaild mode options include: local or slurm.
local
Local executions will run serially on compute instance. This is useful for testing, debugging, or when a users does not have access to a high performance computing environment. If this option is not provided, it will default to a local execution mode.slurm
The slurm execution method will submit jobs to a cluster using a singularity backend. It is recommended running exome-seek in this mode as execution will be significantly faster in a distributed environment.Example:
--mode slurm
--job-name JOB_NAME
Set the name of the pipeline's master job.
type: string default: pl:exome-seekWhen submitting the pipeline to a job scheduler, like SLURM, this option always you to set the name of the pipeline's master job. By default, the name of the pipeline's master job is set to "pl:exome-seek".
Example:
--job-name wes_id-42
--callers CALLERS [CALLERS ...]
Variant Callers.
type: string(s) default: mutect2, mutect, strelka, vardict, varscanList of variant callers to detect mutations. Please select from one or more of the following options: [mutect2, mutect, strelka, vardict, varscan]. Defaults to using all variant callers.
Example:
--callers mutect2 strelka varscan
--pairs PAIRS
Tumor normal pairs file.
type: fileThis tab delimited file contains two columns with the names of tumor and normal pairs, one per line. The header of the file needs to be
Tumor
for the tumor column andNormal
for the normal column. The base name of each sample should be listed in the pairs file. The base name of a given sample can be determined by removing the following extension from the sample's R1 FastQ file:.R1.fastq.gz
.
Contents of example pairs file:Example:Normal Tumor Sample4_CRL1622_S31 Sample10_ARK1_S37 Sample4_CRL1622_S31 Sample11_ACI_158_S38
--pairs /data/$USER/pairs.tsv
--ffpe
Apply FFPE correction.
type: boolean flagRuns an additional steps to correct strand orientation bias in Formalin-Fixed Paraffin-Embedded (FFPE) samples. Do NOT use this option with non-FFPE samples.
Example:
--ffpe
--cnv
Call copy number variations (CNVs).
type: boolean flagCNVs will only be called from tumor-normal pairs. If this option is provided without providing a --pairs file, CNVs will NOT be called.
Example:
--cnv
--singularity-cache SINGULARITY_CACHE
Overrides the $SINGULARITY_CACHEDIR environment variable.
type: path
default:--output OUTPUT/.singularity
Singularity will cache image layers pulled from remote registries. This ultimately speeds up the process of pull an image from DockerHub if an image layer already exists in the singularity cache directory. By default, the cache is set to the value provided to the
--output
argument. Please note that this cache cannot be shared across users. Singularity strictly enforces you own the cache directory and will return a non-zero exit code if you do not own the cache directory! See the--sif-cache
option to create a shareable resource.Example:
--singularity-cache /data/$USER/.singularity
--sif-cache SIF_CACHE
Path where a local cache of SIFs are stored.
type: pathUses a local cache of SIFs on the filesystem. This SIF cache can be shared across users if permissions are set correctly. If a SIF does not exist in the SIF cache, the image will be pulled from Dockerhub and a warning message will be displayed. The
exome-seek cache
subcommand can be used to create a local SIF cache. Please seeexome-seek cache
for more information. This command is extremely useful for avoiding DockerHub pull rate limits. It also remove any potential errors that could occur due to network issues or DockerHub being temporarily unavailable. We recommend running exome-seek with this option when ever possible.Example:
--singularity-cache /data/$USER/SIFs
--threads THREADS
Max number of threads for each process.
type: int
default: 2Max number of threads for each process. This option is more applicable when running the pipeline with
--mode local
. It is recommended setting this vaule to the maximum number of CPUs available on the host machine.Example:
--threads 12
3. Example¶
# Step 1.) Grab an interactive node
# Do not run on head node!
sinteractive --mem=8g --cpus-per-task=4
module purge
module load singularity snakemake
# Step 2A.) Dry-run the pipeline
./exome-seek run --input .tests/*.R?.fastq.gz \
--output /data/$USER/WES_hg38 \
--genome hg38 \
--targets Agilent_SSv7_allExons_hg38.bed \
--mode slurm \
--dry-run
# Step 2B.) Run the GATK4 WES pipeline
# The slurm mode will submit jobs to the cluster.
# It is recommended running exome-seek in this mode.
./exome-seek run --input .tests/*.R?.fastq.gz \
--output /data/$USER/WES_hg38 \
--genome hg38 \
--targets Agilent_SSv7_allExons_hg38.bed \
--mode slurm