Single‐cell RNA sequencing technologies and applications: A brief overview
D Jovic, X Liang, H Zeng, L Lin, F Xu… - Clinical and …, 2022 - Wiley Online Library
Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …
approach for unravelling the heterogeneity and complexity of RNA transcripts within …
Current best practices in single‐cell RNA‐seq analysis: a tutorial
MD Luecken, FJ Theis - Molecular systems biology, 2019 - embopress.org
Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …
resolution. The promise of this technology is attracting a growing user base for single‐cell …
[HTML][HTML] A Python library for probabilistic analysis of single-cell omics data
To the Editor—Methods for analyzing single-cell data 1, 2, 3, 4 perform a core set of
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …
Benchmarking atlas-level data integration in single-cell genomics
Single-cell atlases often include samples that span locations, laboratories and conditions,
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets …
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets …
A comparison of single-cell trajectory inference methods
Trajectory inference approaches analyze genome-wide omics data from thousands of single
cells and computationally infer the order of these cells along developmental trajectories …
cells and computationally infer the order of these cells along developmental trajectories …
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq)
technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has …
technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has …
Single-cell transcriptome analysis reveals dynamic cell populations and differential gene expression patterns in control and aneurysmal human aortic tissue
Background: Ascending thoracic aortic aneurysm (ATAA) is caused by the progressive
weakening and dilatation of the aortic wall and can lead to aortic dissection, rupture, and …
weakening and dilatation of the aortic wall and can lead to aortic dissection, rupture, and …
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Background Single-cell transcriptomics is rapidly advancing our understanding of the
cellular composition of complex tissues and organisms. A major limitation in most analysis …
cellular composition of complex tissues and organisms. A major limitation in most analysis …
STARsolo: accurate, fast and versatile mapping/quantification of single-cell and single-nucleus RNA-seq data
We present STARsolo, a comprehensive turnkey solution for quantifying gene expression in
single-cell/nucleus RNA-seq data, built into RNA-seq aligner STAR. Using simulated data …
single-cell/nucleus RNA-seq data, built into RNA-seq aligner STAR. Using simulated data …
Single-cell transcriptome analysis in plants: advances and challenges
The rapid and enthusiastic adoption of single-cell RNA sequencing (scRNA-seq) has
demonstrated that this technology is far more than just another way to perform transcriptome …
demonstrated that this technology is far more than just another way to perform transcriptome …