Metadata-Version: 2.4
Name: AMPcombi
Version: 3.0.0
Summary: A parsing tool for AMP tools.
Home-page: http://pypi.python.org/pypi/AMPcombi/
Author: Anan Ibrahim, Louisa Perelo
Author-email: ananhamido@hotmail.com, louperelo@gmail.com
License: LICENSE.txt
Keywords: Proteomics,Antimicrobial peptides,MMSeqs2Standardization,Formatting,Functional annotation
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.11
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: ==3.11.*
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas==1.5.2
Requires-Dist: numpy==1.26.4
Requires-Dist: biopython==1.80
Requires-Dist: colorama==0.4.6
Requires-Dist: requests
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
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# AMPcombi : A parsing, filtering and annotation workflow for tools predicting AntiMicrobial Peptide genes

<img src="https://raw.githubusercontent.com/Darcy220606/AMPcombi/main/docs/amp-combi-logo.png" width="300" height="250" /> 

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Install with Bioconda](https://anaconda.org/bioconda/ampcombi/badges/downloads.svg)](https://anaconda.org/bioconda/ampcombi) [![Install with Bioconda](https://anaconda.org/bioconda/ampcombi/badges/version.svg)](https://anaconda.org/bioconda/ampcombi)


**AMPcombi and its submodules provide a command-line interface to:**

- parse the results of multiple antimicrobial peptide (AMP) prediction tools into a single table
- align the AMP hits against a reference AMP database for functional and structural classifications
- filter the AMP hits according to their physio-chemical properties
- cluster the filtered AMP hits into AMP families
- predict signaling peptides if present along the prepropeptide sequence

📕 The full usage documentation for AMPcombi can be accessed [here](https://ampcombi.readthedocs.io/en/main/).

📎 If you plan to use AMPcombi please don't forget to **cite** us 💚
