NoisET | use python package that implements

NoisET is a Jupyter Notebook library. NoisET has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

High-throughput sequencing of T- and B-cell receptors makes it possible to track immune repertoires across time, in different tissues, in acute and chronic diseases or in healthy individuals. However quantitative comparison between repertoires is confounded by variability in the read count of each receptor clonotype due to sampling, library preparation, and expression noise. We present an easy-to-use python package NoisET that implements and generalizes a previously developed Bayesian method in Puelma Touzel et al, 2020. It can be used to learn experimental noise models for repertoire sequencing from replicates, and to detect responding clones following a stimulus. The package was tested on different repertoire sequencing technologies and datasets. NoisET package is desribed here.