Quantitative single-cell transcriptomics

C Ziegenhain, B Vieth, S Parekh… - Briefings in …, 2018 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of
biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks …

Single-cell RNA sequencing analysis: a step-by-step overview

S Slovin, A Carissimo, F Panariello, A Grimaldi… - RNA bioinformatics, 2021 - Springer
Thanks to innovative sample-preparation and sequencing technologies, gene expression in
individual cells can now be measured for thousands of cells in a single experiment. Since its …

[HTML][HTML] Practical bioinformatics pipelines for single-cell RNA-seq data analysis

J He, L Lin, J Chen - Biophysics Reports, 2022 - ncbi.nlm.nih.gov
Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool to explore cells. With an
increasing number of scRNA-seq data analysis tools that have been developed, it is …

Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data

TS Andrews, VY Kiselev, D McCarthy, M Hemberg - Nature protocols, 2021 - nature.com
Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …

Introduction to single‐cell RNA sequencing

TK Olsen, N Baryawno - Current protocols in molecular biology, 2018 - Wiley Online Library
During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

Single-cell RNA-seq technologies and related computational data analysis

G Chen, B Ning, T Shi - Frontiers in genetics, 2019 - frontiersin.org
Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …

Critical downstream analysis steps for single-cell RNA sequencing data

Z Zhang, F Cui, C Lin, L Zhao, C Wang… - Briefings in …, 2021 - academic.oup.com
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 …

[HTML][HTML] A hitchhiker's guide to single-cell transcriptomics and data analysis pipelines

R Nayak, Y Hasija - Genomics, 2021 - Elsevier
Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …

scGEAToolbox: a Matlab toolbox for single-cell RNA sequencing data analysis

JJ Cai - 2020 - academic.oup.com
Motivation Single-cell RNA sequencing (scRNA-seq) technology has revolutionized the way
research is done in biomedical sciences. It provides an unprecedented level of resolution …

ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data

V Gardeux, FPA David, A Shajkofci, PC Schwalie… - …, 2017 - academic.oup.com
Motivation Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of
thousands of individual cells, enabling the molecular exploration of tissues at the cellular …