scErvx run
¶
1. About¶
The scErvx
executable is composed of several inter-related sub commands. Please see scErvx -h
for all available options.
This part of the documentation describes options and concepts for scErvx run
sub command in more detail. With minimal configuration, the run
sub command enables you to start running scErvx pipeline.
Setting up the scErvx pipeline is fast and easy! In its most basic form, scErvx run
only has two required inputs.
2. Synopsis¶
$ scErvx run [--help] \
[--mode {slurm,local}] [--job-name JOB_NAME] [--batch-id BATCH_ID] \
[--tmp-dir TMP_DIR] [--silent] [--sif-cache SIF_CACHE] \
[--singularity-cache SINGULARITY_CACHE] \
[--dry-run] [--threads THREADS] \
--input INPUT [INPUT ...] \
--output OUTPUT
The synopsis for each command shows its arguments and their usage. Optional arguments are shown in square brackets.
A user must provide a list of FastQ (globbing is supported) to analyze via --input
argument and an output directory to store results via --output
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).
type: file(s)One or more FastQ files can be provided. The pipeline does NOT support single-end data. 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 always 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 created automatically.
Example:
--output /data/$USER/scErvx_out
2.2 Analysis options¶
Each of the following arguments are optional, and do not need to be provided.
...add non-required analysis options
2.3 Orchestration options¶
Each of the following arguments are optional, and do not need to be provided.
--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 {slurm,local}
Execution Method.
type: string
default: slurmExecution Method. Defines the mode or method of execution. Vaild mode options include: slurm or local.
slurm
The slurm execution method will submit jobs to the SLURM workload manager. It is recommended running scErvx in this mode as execution will be significantly faster in a distributed environment. This is the default mode of execution.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.Example:
--mode slurm
--job-name JOB_NAME
Set the name of the pipeline's master job.
type: string default: pl:scErvxWhen 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:scErvx".
Example:
--job-name pl_id-42
--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
scErvx cache
subcommand can be used to create a local SIF cache. Please seescErvx 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 scErvx with this option when ever possible.Example:
--singularity-cache /data/$USER/SIFs
--threads THREADS
Max number of threads for each process.
type: int
default: 2Max number of threads for each process. This option is more applicable when running the pipeline with
--mode local
. It is recommended setting this vaule to the maximum number of CPUs available on the host machine.Example:
--threads 12
--tmp-dir TMP_DIR
Max number of threads for each process.
type: path
default:/lscratch/$SLURM_JOBID
Path on the file system for writing temporary output files. By default, the temporary directory is set to '/lscratch/$SLURM_JOBID' for backwards compatibility with the NIH's Biowulf cluster; however, if you are running the pipeline on another cluster, this option will need to be specified. Ideally, this path should point to a dedicated location on the filesystem for writing tmp files. On many systems, this location is set to somewhere in /scratch. If you need to inject a variable into this string that should NOT be expanded, please quote this options value in single quotes.
Example:
--tmp-dir /scratch/$USER/
2.4 Miscellaneous 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
3. Example¶
Biowulf¶
# Step 1.) Grab an interactive node,
# do not run on head node!
srun -N 1 -n 1 --time=1:00:00 --mem=8gb --cpus-per-task=2 --pty bash
module purge
module load singularity snakemake
cd scErvx
# Step 2A.) Dry-run the pipeline
./scErvx run \
--input /data/NCBR/*.bam \
--output /data/NCBR/project/results \
--genome mm10 \
--mode slurm \
--sif-cache /data/OpenOmics/SIFs \
--dry-run
# Step 2B.) Run the scErvx pipeline
# The slurm mode will submit jobs to
# the cluster. It is recommended running
# the pipeline in this mode.
./scErvx run \
--input /data/NCBR/*.bam \
--output /data/NCBR/project/results \
--genome mm10 \
--mode slurm \
--sif-cache /data/OpenOmics/SIFs \
--dry-run
Locus¶
# Step 1.) Grab an interactive node,
qrsh -l h_vmem=4G -pe threaded 4
module load snakemake
# Change your working directory
cd scErvx
# On Locus --mode --tmp-dir --shared-resources --sif-cache are required options.
# Step 2A.) Dry-run the pipeline
./scErvx run \
--input /hpcdata/your_dir/single_cell_input_data/*.bam \
--output /hpcdata/your_dir/single_cell_ervs_results/ \
--genome mm10 \
--sif-cache /hpcdata/openomics/SIFs \
--mode uge \
--tmp-dir /hpcdata/scratch/ \
--dry-run
# Step 2B.) Run the ervx pipeline
./scErvx run \
--input /hpcdata/your_dir/single_cell_input_data/*.bam \
--output /hpcdata/your_dir/single_cell_ervs_results/ \
--genome mm10 \
--sif-cache /hpcdata/openomics/SIFs \
--mode uge \
--tmp-dir /hpcdata/scratch/ \
--dry-run