AnalyzAIRR is an R package developed to analyze bulk Ig/TCR repertoire datasets.
- It proposes an analytical routine starting with data exploration, leading to in-depth statistical comparisons with the aim of answering defined biological questions.
- It allows the calculation of a set of diversity measures and statistical metrics applicable at any level of granularity.
- It offers different types of data visualization and ready-to-publish graphics that can be easily personalized.
Authors: Vanessa Mhanna, Gabriel Pires, Grégoire Bohl, Karim El Soufi, Nicolas Tchitchek, David Klatzmann, Adrien Six, Hang-Phuong Pham and Encarnita Mariotti-Ferrandiz.
The latest release of AnalyzAIRR can be installed from Github using devtools:
#install.packages("devtools")
#devtools::install_github("i3-unit/AnalyzAIRR")
library(AnalyzAIRR)A Docker image of the AnalyzAIRR tool encapsulating its dependencies, and required run environments is available on docker hub at vanessajmh/analyzairr.
To install the latest version, the following command line can be used:
docker pull vanessajmh/analyzairr:latest
Images are versioned using tags. To install a specific version, the following command line can be used:
docker pull vanessajmh/analyzairr:v1.0.0
Details on supported data formats and the data loading process can be found here
A Shiny web application was developed for AnalyzAIRR making it user-friendly for biologists with little or no background in bioinformatics. The application can be either downloaded from this Github repository or used directly at this link
For any questions regarding the installation of AnalyzAIRR, bug reports or feature requests, please submit an issue.