Generate UMI-labeled, stranded libraries for whole-transcriptome analyses, compatible with Illumina NGS platforms.
A cost effective 5′ selective single cell transcriptome profiling approach with improved UMI design | RNA-Seq Blog
What are Unique Molecular Identifiers and Why do We Need Them? | RNA Lexicon
Frontiers | FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells
Quantitative single-cell RNA-seq with unique molecular identifiers | Nature Methods
Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq | Nature Communications
10X Genomics single-cell 3'mRNA-seq explained - Enseqlopedia
What are UMIs and why are they used in high-throughput sequencing? | DNA Technologies Core
Single-cell RNA-seq of four iN cell populations. a-c, Cells are... | Download Scientific Diagram
Single-cell sequencing
Blog - Single-Cell Multiomics: A Beginner's Guide to Understanding CITE-Seq and TotalSeq™ Reagents
Single Cell - France Génomique
Ultra-high throughput single-cell RNA sequencing by combinatorial fluidic indexing
Understanding Barcodes
10x single cell BAM files - Dave Tang's blog
Comparative Analysis of Single-Cell RNA Sequencing Methods - ScienceDirect
High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes | Nature Communications
Understanding Single Cell technologies: Barcodes and UMIs – Geneious Biologics Support
Exploring a Poor Quality Sample | Introduction to Single-cell RNA-seq - ARCHIVED
IsoSeek – unbiased and UMI-informed sequencing of cell-free miRNAs at single-nucleotide resolution | RNA-Seq Blog
UMI incorporation into small RNA-seq. a Overall workflow. The method... | Download Scientific Diagram
Unique molecular identifier (UMI) | RNA-Seq Blog
Biopolymers Facility
BUTTERFLY: addressing the pooled amplification paradox with unique molecular identifiers in single-cell RNA-seq | Genome Biology | Full Text
Generation of count matrix | Introduction to Single-cell RNA-seq - ARCHIVED
Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression | bioRxiv
