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 language | English |
|---|---|
| Pages (from-to) | 2890-2897 |
| Number of pages | 8 |
| Journal | Computational and Structural Biotechnology Journal |
| Volume | 27 |
| DOIs | |
| State | Published - 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
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver