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TCRcloud is a TCR repertoire visualization and comparison tool

Project description

TCRcloud

GitHub last commit GitHub release (latest by date) PyPI PyPI - Python Version PyPI - Wheel License

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 (x86-64) and macOS (x86-64) 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.

TCRcloud was initially developed for TCR repertoires but it is also compatible with BCR repertoires.

Usage

To create a word cloud

TCRcloud cloud 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.

Only the colours for human TCR and BCR variable genes are coded into TCRcloud.

To use your custom colours for the word cloud

TCRcloud cloud AIRR_rearrangements_file.tsv -c colours.json

To create a word cloud without a legend

TCRcloud cloud AIRR_rearrangements_file.tsv -l False

To create a radar plot comparing diversity metrics

TCRcloud radar 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 AIRR_rearrangements_file.tsv -c legend.json

To create a radar plot without a legend

TCRcloud radar AIRR_rearrangements_file.tsv -l False

To export the calculated metrics from the radar to a text file

TCRcloud radar AIRR_rearrangements_file.tsv -e True

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 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)

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

TRB CDR3 word cloud beta

TRG CDR3 word cloud gamma

TRD CDR3 word cloud delta

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)

radar

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