Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
MARVEL: An integrated alternative splicing analysis platform for single-cell RNA sequencing data
Abstract
Alternative splicing is an important source of heterogeneity in gene expression between individual cells but remains an understudied area due to the paucity of computational tools to analyze splicing dynamics at single-cell resolution. Here, we present MARVEL, a comprehensive R package for single-cell splicing analysis applicable to RNA sequencing generated from the plate- and droplet-based methods. We performed extensive benchmarking of MARVEL against available tools and demonstrated its utility by analyzing iPSC differentiation into endoderm cells and cardiomyocytes. MARVEL enables systematic and integrated splicing and gene expression analysis of single cells to characterize the splicing landscape and reveal biological insights.
- organism: human
- assay: scRNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 43
- FWCI
- 3.82
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Mining alternative splicing patterns in scRNA-seq data using scASfind
Yuyao Song, Guillermo E. Parada, … Martin Hemberg·Genome biologyPeer-reviewed·Jul 29, 2024
- Investigating RNA splicing as a source of cellular diversity using a binomial mixture model
Keren Isaev, David A. Knowles·bioRxiv·Oct 17, 2023
- RNA splicing programs define tissue compartments and cell types at single cell resolution
Julia Eve Olivieri, Roozbeh Dehghannasiri, … Julia Salzman·eLifePeer-reviewed·Sep 13, 2021
- The SpliZ generalizes "Percent Spliced In" to reveal regulated splicing at single-cell resolution
Julia Eve Olivieri, Roozbeh Dehghannasiri, Julia Salzman·Nature MethodsPeer-reviewed·Mar 1, 2022
- Alternative splicing in 300 human cells and tissues is sparsely distributed and strongly associated with cell identity
Angelita Liang, Marc Ronald Wilkins·bioRxiv·Jan 6, 2025
- Robust and annotation-free analysis of alternative splicing across diverse cell types in mice
Gonzalo Benegas, Jonathan Fischer, Yun S Song·eLifePeer-reviewed·Feb 28, 2022