Comparative Analysis of Single-Cell RNA Sequencing Methods
Comparative analysis of NovaSeq 6000 and MGISEQ 2000 single‐cell RNA sequencing data - Chen - 2022 - Quantitative Biology - Wiley Online Library
SLAM‐Drop‐seq reveals mRNA kinetic rates throughout the cell cycle | Molecular Systems Biology
Overview of Drop-seq technology | RNA-Seq Blog
Single-Cell RNA-seq Technologies (10x Genomics, Smart-Seq, Drop-seq and more) | BioCode - YouTube
A systematic evaluation of single cell RNA-seq analysis pipelines | Nature Communications
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets: Cell
GitHub - darneson/DropSeq
A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels | Communications Biology
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets - ScienceDirect
UMI-tools | CGAT
Drop-seq - McCarroll Lab
Drop-Seq
Simplified Drop-seq workflow with minimized bead loss using a bead capture and processing microfluidic chip - Lab on a Chip (RSC Publishing) DOI:10.1039/C9LC00014C
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets: Cell
The Structure of Drop-Seq Bead and Resulting Sequence Libraries (A) The... | Download Scientific Diagram
Drop-seq pipeline — Cumulus 2.5.0 documentation
Comparative Analysis of Single-Cell RNA Sequencing Methods - ScienceDirect
CITE-seq | A collection of resources for performing CITE-seq
Drop-Seq Method (Droplet Sequencing) - Fluigent
GitHub - broadinstitute/Drop-seq: Java tools for analyzing Drop-seq data
How to ask cells what proteins they produce? - Fluigent
Single cell RNAseq sample journey. Schematic representation of a... | Download Scientific Diagram
Drop-seq - McCarroll Lab
