ImReP is a computational method for rapid and accurate profiling of the adaptive immune repertoire from regular RNA-Seq data.
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Updated
Aug 10, 2017 - C
ImReP is a computational method for rapid and accurate profiling of the adaptive immune repertoire from regular RNA-Seq data.
Open Source python module to enable batch gold particle picking, filtering, processing & statistical modelling of TEM images produced by IGEM (immunogold electron microscopy).
(Under development) Computational framework for probabilistic models of immune receptor assembling.
Python and R Scripts for Statistical analysis of available immunogobulin variable genes
The Atlas of Immunoglobulin Repertoires (TheAIR)
Simulation of false tandem substitutions from input sequencing data
IgIDivA (Immunoglobulin Intraclonal Diversification Analysis) is a purpose-built tool for the analysis of the intraclonal diversification process using high-throughput sequencing data. It is written in shiny R.
Construction of IHGV sequences from RNA-seq
A pipeline for preprocessing and annotation of NGS immunoglobulin repertoire data.
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
The Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
Comparison of gene usage in immune repertoires under different biological conditions
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