HTSinfer infers metadata from High Throughput Sequencing (HTS) data
Reason this release was yanked:
Now available on Bioconda (more user-friendly due to non-Python dependencies)
Project description
HTSinfer
HTSinfer infers metadata from High Throughput Sequencing (HTS) data
Usage
htsinfer [-hv]
Parameters
optional arguments:
-h, --help show this help message and exit
--version show version information and exit
-v, --verbose print logging messages to STDERR
--debug also print debugging messages to STDERR
Extended usage
Run locally
In order to use the package, clone the repository and install the dependencies:
git clone https://github.com/zavolanlab/htsinfer
cd htsinfer
pip install -r requirements.txt
python setup.py install
NOTE: You may want to install dependencies inside a virtual environment, e.g., using
virtualenv
.
To verify the correct installation, you can run the tests that are shipped with the package:
python -m pytest
You can then run the package via the CLI script htsinfer
as described in the
Usage section.
Run inside container
If you have Docker installed, you can also pull the Docker image:
docker pull zavolab/htsinfer:latest
The script can be found in directory /home/user/htsinfer/src
inside the
Docker container.
The Docker image contains an entry point for the CLI script htsinfer
so that
you can run it, e.g., with:
docker run --rm -it zavolab/htsinfer:latest --help
NOTE: To run the tool on your own data in that manner, you will probably need to [mount a volume][res-docker-volume] to allow the container read input files and write persistent output from/to the host file system.
Contributing
This project lives off your contributions, be it in the form of bug reports, feature requests, discussions, or fixes and other code changes. Please refer to the contributing guidelines if you are interested to contribute. Please mind the code of conduct for all interactions with the community.
Contact
For questions or suggestions regarding the code, please use the issue tracker. For any other inquiries, please contact us by email: zavolab-biozentrum@unibas.ch
Project details
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