Metadata-Version: 2.1
Name: prfect
Version: 0.29
Summary: A tool to predict programmed ribosomal frameshifts
Home-page: https://github.com/deprekate/prfect
Author: Katelyn McNair
Author-email: deprekate@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >3.5.2
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn (>=0.24.0)
Requires-Dist: sklearn
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: genbank
Requires-Dist: LinearFold
Requires-Dist: hotknots
Requires-Dist: score-rbs

# prfect


```
python3 prfect.py test/covid19.gbk
```
and the output are genes that are predicted to utilize programmed ribosomal frameshifing
(any already PRF genes that use the join keyword, are split into their two parts and also predicted
```
ribo frameshift detected in develop/prfect/test/covid19.gbk

     CDS             join(266..13468,13468..21555)
                     /ribosomal_slippage=-1
                     /slippery_sequence=tttaaacggg
                     /motif=is_threethree
                     /label=1
                     /product="ORF1ab polyprotein","ORF1ab polyprotein"

```
