Metadata-Version: 2.1
Name: IPTKL
Version: 0.4.2
Summary: IPTK is a Pythonic library specialized in the analysis of HLA-peptidomes identified through an Immunopeptiomics pipeline.
Home-page: https://github.com/ikmb/iptoolkit
Author: Hesham ElAbd
Author-email: h.elabd@ikmb.uni-kiel.de
License: UNKNOWN
Description: # The immunopeptidomic toolkit library, IPTK # 
        
        ### Introduction and Project Aim ###
        <p>IPTK is a Python library specialized in the analysis of HLA-peptidomes identified through an Immunopeptidomic(IP) pipeline. 
        The library provides a high level API for analyzing and visualizing the identified peptides, integrating transcritomics and protein structure information 
        for a rich analysis of the identified immunopeptidomes. It also provides a toolbox for integrating and comparing different experiments and/or different runs.</p>
        
        ### Release 0.4.0 notice:
        <p> 1- Adding function to compute immunopeptiomic coverage matrix </p>
        <p> 2- Introducing MDS plots for comparing the similarities between runs based on immunopeptidomic coverage </p>   
        
        ### Tutorials ### 
        <p>The library have three notebooks that provide a step be step guidance to use the library and to utilize its major APIs for interacting with an IPs data.
        These Tutorial can be found at the Tutorial directory</p>
        
        <p> IPTK have be documented using Sphinx, the manual of the library can be found at docs directory and online at <a href= "https://iptk.readthedocs.io/en/latest/index.html"> readthedocs </a> </p> 
        
        
        ### Installation ###
        <p>The library can be installed using pip as follows: </p> 
        
        ```
        pip install iptkl --user
        ```
        
        
        ### Funding ###
        The project was funded by the German Research Foundation (DFG) (Research Training Group 1743, ‘Genes, Environment and Inflammation’) 
        
        
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
