Comparative analysis of sequencing technologies for single-cell transcriptomics
Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we
present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq …
present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq …
Critical downstream analysis steps for single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) has enabled us to study biological questions at
the single-cell level. Currently, many analysis tools are available to better utilize these …
the single-cell level. Currently, many analysis tools are available to better utilize these …
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene
expression at the level of individual cells. However, preparing raw sequence data for further …
expression at the level of individual cells. However, preparing raw sequence data for further …
Computational methods for single-cell RNA sequencing
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of
millions of cells across species and diseases. These data have spurred the development of …
millions of cells across species and diseases. These data have spurred the development of …
Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists
X Zhu, TK Wolfgruber, A Tasato, C Arisdakessian… - Genome medicine, 2017 - Springer
Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA …
to study heterogeneity at the single-cell level. Computational methods to process scRNA …
scRNA‐seq data analysis method to improve analysis performance
J Lu, Y Sheng, W Qian, M Pan, X Zhao… - IET …, 2023 - Wiley Online Library
With the development of single‐cell RNA sequencing technology (scRNA‐seq), we have the
ability to study biological questions at the level of the individual cell transcriptome …
ability to study biological questions at the level of the individual cell transcriptome …
Design and computational analysis of single-cell RNA-sequencing experiments
R Bacher, C Kendziorski - Genome biology, 2016 - Springer
Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows
us to address scientific questions that eluded examination just a few years ago. With the …
us to address scientific questions that eluded examination just a few years ago. With the …
Using neural networks for reducing the dimensions of single-cell RNA-Seq data
While only recently developed, the ability to profile expression data in single cells (scRNA-
Seq) has already led to several important studies and findings. However, this technology …
Seq) has already led to several important studies and findings. However, this technology …
A comprehensive survey of statistical approaches for differential expression analysis in single-cell RNA sequencing studies
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing
technique for studying gene expressions at the cell level. Differential Expression (DE) …
technique for studying gene expressions at the cell level. Differential Expression (DE) …
[HTML][HTML] Single-cell transcriptomics bioinformatics and computational challenges
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to
revolutionize our understanding of diseases and associated biological processes at an …
revolutionize our understanding of diseases and associated biological processes at an …