ABOUT
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Python implementation of Java SNP calling pipeline (https://github.com/DSGlab/SNPCallingPipeline).
Usage is descriped below. For consistency the configuration file is exactly as described in the Java code.
Descriptions of the various options in the Java code is given at https://github.com/DSGlab/SNPCallingPipeline.
An example configuration file is included in this directory.
USAGE
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usage: pySNPCallingPipeline.py [-h] -c CONF_FILE [--aln_only] [--no_aln]
[--local] [--submit] [--subset SUBSET]
[--def_run]
Run pySNPCallingPipeline
optional arguments:
-h, --help show this help message and exit
-c CONF_FILE, --conf CONF_FILE
A configuration file is required to run
pySNPCallingPipeline.
--aln_only Alignment only, default is FALSE.
--no_aln Run all analysis using pre-run alignments, default is
FALSE.
--local Is this a LOCAL run or should SLURM files be created?
Default is True.
--submit If running a supercomputing cluster, should only slurm
files be created or should the jobs be submitted as
well.
--subset SUBSET Provide a comma seperated list of a subset of
"alignment, getHQSNPs, intraClonalSNPs, checkSNPs,
filterSNPs"
--def_run Default: run entire calculation locally.
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Python implementation of Java SNP calling pipeline (https://github.com/DSGlab/SNPCallingPipeline).
Usage is descriped below. For consistency the configuration file is exactly as described in the Java code.
Descriptions of the various options in the Java code is given at https://github.com/DSGlab/SNPCallingPipeline.
An example configuration file is included in this directory.
USAGE
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
usage: pySNPCallingPipeline.py [-h] -c CONF_FILE [--aln_only] [--no_aln]
[--local] [--submit] [--subset SUBSET]
[--def_run]
Run pySNPCallingPipeline
optional arguments:
-h, --help show this help message and exit
-c CONF_FILE, --conf CONF_FILE
A configuration file is required to run
pySNPCallingPipeline.
--aln_only Alignment only, default is FALSE.
--no_aln Run all analysis using pre-run alignments, default is
FALSE.
--local Is this a LOCAL run or should SLURM files be created?
Default is True.
--submit If running a supercomputing cluster, should only slurm
files be created or should the jobs be submitted as
well.
--subset SUBSET Provide a comma seperated list of a subset of
"alignment, getHQSNPs, intraClonalSNPs, checkSNPs,
filterSNPs"
--def_run Default: run entire calculation locally.
Metadata
Release files for pySNPCall 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pySNPCall-0.1.tar.gz | 13.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pySNPCall-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.5 kB
Release files / pySNPCall-0.1.tar.gz
| Download URL | pySNPCall-0.1.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
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Release files / pySNPCall-0.1-py3-none-any.whl
| Download URL | pySNPCall-0.1-py3-none-any.whl |
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| Size | 20.9 kB |
| Tags | Python 3 |
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