# python-linearfold
Unofficial CPython binding to LinearFold
### Installation
Use `pip` to install the module.
```bash
pip install linearfold-unofficial
```
You may build from the source code for unsupported Python versions or platforms.
```bas
git clone --recursive https://github.com/ChangLabSNU/python-linearfold
cd python-linearfold
pip install .
```
### Usage
The module currently only has one function called `fold(seq)`, and
it doesn't have any customizable options other than the defaults.
The seq parameter should be an RNA sequence in *uppercase* letters,
and any `T` should be converted to `U` before passing it to the function.
```python
>>> import linearfold
>>> seq = 'UGUCGGGUAGCUUAUCAGACUGAUGUUGACUGUUGAAUCUCAUGGCAACACCAGUCGAUGGGCUGUCUGACA'
>>> linearfold.fold(seq)
('((((((((((((((((.(((((.(((((.(((.(((...))))))))))).)))))))))))))))))))))', -34.6)
```
The function returns a tuple with two elements. The first element
is the predicted MFE structure, and the second element is the free
energy of the structure in kcal/mol.
### Author
Hyeshik Chang <hyeshik@snu.ac.kr>
### License
This Python binding is licensed under [the MIT-style license](LICENSE).
However, the compiled binary includes code from the LinearFold
package, which is licensed for non-commercial use.
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"description": "# python-linearfold\n\nUnofficial CPython binding to LinearFold\n\n### Installation\n\nUse `pip` to install the module.\n\n```bash\npip install linearfold-unofficial\n```\n\nYou may build from the source code for unsupported Python versions or platforms.\n\n```bas\ngit clone --recursive https://github.com/ChangLabSNU/python-linearfold\ncd python-linearfold\npip install .\n```\n\n### Usage\n\nThe module currently only has one function called `fold(seq)`, and\nit doesn't have any customizable options other than the defaults.\nThe seq parameter should be an RNA sequence in *uppercase* letters,\nand any `T` should be converted to `U` before passing it to the function.\n\n```python\n>>> import linearfold\n>>> seq = 'UGUCGGGUAGCUUAUCAGACUGAUGUUGACUGUUGAAUCUCAUGGCAACACCAGUCGAUGGGCUGUCUGACA'\n>>> linearfold.fold(seq)\n('((((((((((((((((.(((((.(((((.(((.(((...))))))))))).)))))))))))))))))))))', -34.6)\n```\n\nThe function returns a tuple with two elements. The first element\nis the predicted MFE structure, and the second element is the free\nenergy of the structure in kcal/mol.\n\n### Author\n\nHyeshik Chang <hyeshik@snu.ac.kr>\n\n### License\n\nThis Python binding is licensed under [the MIT-style license](LICENSE).\nHowever, the compiled binary includes code from the LinearFold\npackage, which is licensed for non-commercial use.\n",
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