Metadata-Version: 2.1
Name: adpred
Version: 1.2.5
Summary: Prediction of Transcription Activation Domains from protein sequences
Home-page: https://github.com/FredHutch/adpred-pkg
Author: Ariel Erijman
Author-email: aerijman@fredhutch.org, aerijman@neb.com
License: UNKNOWN
Description: [![CircleCI](https://circleci.com/gh/nebiolabs/tasmanian/tree/master.svg?style=svg)](https://circleci.com/gh/nebiolabs/tasmanian/tree/master)
        [![Bioconda](https://github.com/FredHutch/adpred-pkg/static/figures/bioconda-badge-wide.svg)
        [![License](http://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/nebiolabs/tasmanian/blob/master/LICENSE)
        [![Language](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org)  
          
        # ADpred  
        
        A tool for prediction of Transcription Activation Domains from protein sequences.
        
        <!--toc start-->
         * [Goals](#goals)
         * [Documentation](https://adored.readthedocs.io/en/latest/)
         * [Contributing](#contributing)
         * [Authors](#authors)
         * [Licence](#licence)
        <!--toc end -->
        
        
        ## Goals  
        
        The main goal is to identify regions with high AD function probability in protein sequences. Moreover, at these observed regions, a saturated mutagenesis study can reveal insights into the important residues that confer the AD function to that region.
        
        ## Contributing
        
        Contributions are welcome and encouraged.
        
        ## [Documentation](https://adored.readthedocs.io/en/latest/index.html?highlight=predict)
        
        ## Authors
        * [Ariel Erijman](https://github.com/aerijman)
        
        ## Licence
        `ADpred` is an open source software released under the [MIT licence](#)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
