NIEHS / muver

SNP and indel caller for mutation accumulation experiments
MIT License
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muver

muver is an analytical framework developed to improve sensitivity and increase accuracy in mutation identification from high-throughput sequencing data. muver provides significantly increased accuracy in challenging genomic contexts, including low complexity repetitive sequences. The muver framework has been applied to data from mutation accumulation experiments in yeast.

Requirements

muver was developed using Python 2.7.13. In addition to requirements specified in setup.py, muver requires installation of the following tools:

Installation

Proper function of muver requires the paths to depencies to be set. To do this, manually set the paths in paths.cfg using a text editor.

After the correct paths have been set, install muver with the following command:

python setup.py install

A Docker image is also available.

Usage

All of muvers functions may be accessed using its command line interface. General usage is as follows:

muver COMMAND [OPTIONS] [ARGS]...

A list of commands can be found by using the following:

muver --help

Details about each command can be found by using the following:

muver COMMAND --help

See the manual for further usage details.

Authors

muver was conceptualized by Scott Lujan and Adam Burkholder. muver was written by Adam Burkholder and Christopher Lavender.

License

This project is licensed under the MIT License. See LICENSE for details.

Acknowledgments

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.