Metadata-Version: 2.1
Name: tral
Version: 2.0
Summary: Detect and evaluate tandem repeats in genomic sequence data.
Home-page: http://pypi.python.org/pypi/tral/
Author: Elke Schaper
Author-email: elke.schaper@isb-sib.ch
License: LICENSE.txt
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Natural Language :: English
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
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[<img src="https://img.shields.io/pypi/v/tral.svg?branch=master">](https://pypi.python.org/pypi/tral)

# Tandem Repeat Annotation Library

TRAL is a highly modularized, flexible sequence tandem repeats annotation Python2/3 library.

- Large scale annotation of tandem repeats with *de novo* detectors, and sequence profile models  
- Statistical significance testing, overlap detection, and filtering of annotations  
- Refinement of tandem repeat annotations with circular profile hidden Markov models  
- User-defined output formats  

The source code is [documented on GitHub IO].

### Version

2.0

### Installation

It is recommended to use TRAL with the [docker image] or install it locally with the [easy_setup] system.

### License

GPL-2.0

### Dependencies

Some of TRAL's functions depend on external software ([Installation instructions for dependencies]). This includes creation of sequence profile hidden Markov models, alignment of tandem repeat units, and *de novo* repeat detection.

[documented on GitHub IO]:https://acg-team.github.io/tral/
[docker image]:https://github.com/acg-team/tral/packages
[easy_setup]:https://github.com/acg-team/tral/tree/develop/easy_setup
[Installation instructions for dependencies]:https://acg-team.github.io/tral/install_external.html#install-external
[Pypi]:https://pypi.python.org/pypi
[pip]:https://pip.pypa.io/en/latest/


