Metadata-Version: 2.1
Name: TCRcloud
Version: 1.1.0
Summary: TCRcloud is a TCR repertoire visualization and comparison tool
Home-page: https://github.com/oldguyeric/TCRcloud
Author: Eric de Sousa
Author-email: eric.desousa@research.fchampalimaud.org
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/oldguyeric/TCRcloud/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

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![PyPI](https://img.shields.io/pypi/v/TCRcloud)
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![TCRcloud](https://github.com/oldguyeric/TCRcloud/raw/main/images/TCRcloud.png)

## TCRcloud is a TCR repertoire visualization and comparison tool

**Instalation**

TCRcloud is written in python and can be installed from PyPI using pip:

    $ pip3 install TCRcloud

Currently it is only compatible with linux-64 and osx-64 because one of the dependencies used is also only compatible with those operating systems. It does work on WSL if you want to use Windows.

TCRcloud uses the AIRR Data Commons API and needs AIRR compliant data as input

**Usage**

**To create a wordcloud**

    $ TCRcloud cloud -a AIRR_rearrangements_file.tsv

By default TCRcloud colours the CDR3 based on the Vgene but you can provide a json file that atributes colours in Hex format to specific sequences:

    {
    "#FF0000":["CAASITGNQFYF","CAVREDGTSGSARQLTF"],
    "#0000FF":["CAVMDSNYQLIW"]
    }

The sequences not in the file will be coloured grey.

**To use your custom colours for the word cloud**

    $ TCRcloud cloud -a AIRR_rearrangements_file.tsv -c colours.json

**To create a radar plot comparing diversity metrics**

    $ TCRcloud radar -a AIRR_rearrangements_file.tsv

By default TCRcloud uses repertoire_id but you can create a legend with the text you want by providing a json file:

    {
    "2839362682105696746-242ac113-0001-012":"Twin 2A",
    "2939134772391776746-242ac113-0001-012":"Twin 2B"
    }  

**To create a radar plot with your desired legend**

	$ TCRcloud radar -a AIRR_rearrangements_file.tsv -l legend.json

Using TCRcloud you can download rearragements files from the AIRR compliant databases based on AIRR repertoire metadata files

**To download AIRR rearrangements files**

    $ TCRcloud download -a AIRR_repertoire_file.json

TCRcloud provides some test data to experiment the tool. The data is one twin pair from the monozygotic twins study from the Mark Davis lab (DOI:[ 10.1038/ncomms11112](https://doi.org/10.1038/ncomms11112))

**To download the test data repertoire file**

    $ TCRcloud testdata

After having the testdata.airr.json file you can use the download function included in TCRcloud to get the matching rearragements file.

## Examples:

**TRA CDR3 word cloud**
![alpha](https://github.com/oldguyeric/TCRcloud/raw/main/images/alpha.png)

**TRB CDR3 word cloud**
![beta](https://github.com/oldguyeric/TCRcloud/raw/main/images/beta.png)

**TRG CDR3 word cloud**
![gamma](https://github.com/oldguyeric/TCRcloud/raw/main/images/gamma.png) 

**TRD CDR3 word cloud**
![delta](https://github.com/oldguyeric/TCRcloud/raw/main/images/delta.png) 

**Diversity comparison**

Comparing here the αβ repertoire from one twin pair from the monozygotic twins study from the Mark Davis lab (DOI:[ 10.1038/ncomms11112](https://doi.org/10.1038/ncomms11112))

![radar](https://github.com/oldguyeric/TCRcloud/raw/main/images/radar.png)


