[HTML][HTML] 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 …
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …
[PDF][PDF] The expanding landscape of alternative splicing variation in human populations
Alternative splicing is a tightly regulated biological process by which the number of gene
products for any given gene can be greatly expanded. Genomic variants in splicing …
products for any given gene can be greatly expanded. Genomic variants in splicing …
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …
molecular layers. However, methods for the unsupervised integration of the resulting …
Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis
Multiple sclerosis (MS) is characterized by an immune system attack targeting myelin, which
is produced by oligodendrocytes (OLs). We performed single-cell transcriptomic analysis of …
is produced by oligodendrocytes (OLs). We performed single-cell transcriptomic analysis of …
Alternative mRNA splicing in cancer immunotherapy
L Frankiw, D Baltimore, G Li - Nature Reviews Immunology, 2019 - nature.com
Immunotherapies are yielding effective treatments for several previously untreatable
cancers. Still, the identification of suitable antigens specific to the tumour that can be targets …
cancers. Still, the identification of suitable antigens specific to the tumour that can be targets …
[HTML][HTML] Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …
number of tools designed to analyse these data has dramatically increased. Navigating the …
[HTML][HTML] Single-cell transcriptomics: current methods and challenges in data acquisition and analysis
Rapid cost drops and advancements in next-generation sequencing have made profiling of
cells at individual level a conventional practice in scientific laboratories worldwide. Single …
cells at individual level a conventional practice in scientific laboratories worldwide. Single …
[HTML][HTML] Single-cell RNAseq for the study of isoforms—how is that possible?
Á Arzalluz-Luque, A Conesa - Genome biology, 2018 - Springer
Single-cell RNAseq and alternative splicing studies have recently become two of the most
prominent applications of RNAseq. However, the combination of both is still challenging …
prominent applications of RNAseq. However, the combination of both is still challenging …
Deep-learning augmented RNA-seq analysis of transcript splicing
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its
reliance on high sequencing coverage. We report DARTS (https://github …
reliance on high sequencing coverage. We report DARTS (https://github …
[HTML][HTML] Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene
expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing …
expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing …