Splatter: simulation of single-cell RNA sequencing data
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Summary
The Splatter Bioconductor package is presented for simple, reproducible, and well-documented simulation of scRNA-seq data and provides an interface to multiple simulation methods including Splatter, the authors' own simulation, based on a gamma-Poisson distribution.
- Type
- article
- Published
- 2017-07-24
- Cited by
- 807
- References
- 51
- Access
- Open access
- OpenAlex
- https://openalex.org/W28899397
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9332625
Keywords
Political science, Computer science
References
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- Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists
- Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
- SIDEseq: A Cell Similarity Measure Defined by Shared Identified Differentially Expressed Genes for Single-Cell RNA sequencing Data
- Towards unified quality verification of synthetic count data with countsimQC
- The Human Cell Atlas: Technical approaches and challenges
- Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
- Methods and challenges in the analysis of single-cell RNA-sequencing data
- Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq
- A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification
- Simulation-based benchmarking of isoform quantification in single-cell RNA-seq
- Visualizing and interpreting single-cell gene expression datasets with Similarity Weighted Nonnegative Embedding
- PROSSTT: probabilistic simulation of single-cell RNA-seq data for complex differentiation processes
- A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
- Reconstruction of complex single-cell trajectories using CellRouter
- Reconstructing complex lineage trees from scRNA-seq data using MERLoT
- Single-cell RNA-seq denoising using a deep count autoencoder
- Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
- matchSCore: Matching Single-Cell Phenotypes Across Tools and Experiments
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