Skip to content

Repository associated with the paper "Inferring and predicting the T-cells repertoire dynamics of healthy individuals"

Notifications You must be signed in to change notification settings

statbiophys/Inferring_TCR_repertoire_dynamics

Repository files navigation

Inferring_TCR_repertoire_dynamics

Repository associated with the paper "Inferring and predicting the T-cells repertoire dynamics of healthy individuals"

Each figure is generated thanks to the help of the Jupyter notebook file Figure(i).ipynb. Sketches found in the paper were designed thanks to Apple Keynote.


Library Requirements

Python 3

NoisET is a python /3.6 software. It is available on PyPI and can be downloaded and installed through pip:

$ pip install noisets

Library requirements : seaborn, scipy, scikit-learn

Data-sets analyzed in this study can be found in the following references:

[1] https://clients.adaptivebiotech.com/pub/healthy-adult-time-course-TCRB for P1, P2 and P7

[2] https://doi.org/10.1073/pnas.1809642115 SRA: PRJNA493983 for P3 and P4.

[3] https://doi.org/10.4049/jimmunol.1600005 SRA: PRJNA316572 for P5 and P8.

[4] https://doi.org/10.7554/eLife.53704 SRA: PRJNA577794 for P6.

[5] https://doi.org/10.1016/j.vaccine.2018.02.027 SRA: SRP111073 for P9.

About

Repository associated with the paper "Inferring and predicting the T-cells repertoire dynamics of healthy individuals"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published