dandelionR: Single-cell immune repertoire trajectory analysis in R

Research output: Contribution to journalArticlepeer-review

Abstract

Integration of single-cell RNA-sequencing (scRNA-seq) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) is extremely powerful in studying lymphocyte development. A python-based package, Dandelion, introduced the VDJ-feature space method, which addresses the challenge of integrating single-cell AIR data with gene expression data and enhances trajectory analysis results. However, no R-based equivalent or similar methods currently exist. To fill this gap, we present dandelionR, an R implementation of Dandelion's trajectory analysis workflow, bringing the VDJ feature space construction and trajectory analysis using diffusion maps and absorbing Markov chains to R, offering a new option for scRNA-seq and scVDJ-seq analysis to R users.

Original languageEnglish
Pages (from-to)2890-2897
Number of pages8
JournalComputational and Structural Biotechnology Journal
Volume27
DOIs
StatePublished - Jan 2025

Keywords

  • Single-cell
  • TCR-seq
  • Trajectory analysis

Fingerprint

Dive into the research topics of 'dandelionR: Single-cell immune repertoire trajectory analysis in R'. Together they form a unique fingerprint.

Cite this