Article

Benchmarking full-length transcript single cell mRNA sequencing protocols

2020-07-29

Abstract excerpt

Single cell mRNA sequencing technologies have transformed our understanding of cellular heterogeneity and identity. For sensitive discovery or clinical marker estimation where high transcript capture per cell is needed only plate-based techniques currently offer sufficient resolution. Here, we present a performance evaluation of three different plate-based scRNA-seq protocols. Our evaluation is aimed towards appli...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e77084c4-f67d-5906-b339-0f11498a4c3a
DOI: 10.1101/2020.07.29.225201

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Benchmarking full-length transcript single cell mRNA sequencing protocolsDOI 10.1101/2020.07.29.225201Read

Comprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samplesSemantic proximity Read

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas ProjectsSemantic proximity Read

RoCK and ROI: Single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencingSemantic proximity Read

High throughput detection of variation in single-cell whole transcriptome through streamlined scFAST-seqSemantic proximity Read

A platform-agnostic evaluation of non-formalin fixed single cell RNA technologiesSemantic proximity Read

Benchmarking long-read RNA-sequencing technologies with <i>LongBench:</i> a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approachesSemantic proximity Read

Inclusion of processed cell metadata improves single cell sequencing analysis reproducibility and accessibilitySemantic proximity Read

A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell linesSemantic proximity Read

GoT-Splice protocol for multi-omics profiling of gene expression, cell-surface proteins, mutational status, and RNA splicing in human cells.Semantic proximity Read

COMPARISON OF HIGH-THROUGHPUT SINGLE-CELL RNA-SEQ METHODS FOR EX VIVO DRUG SCREENINGSemantic proximity Read

R2C2: Improving nanopore read accuracy enables the sequencing of highly-multiplexed full-length single-cell cDNASemantic proximity Read

High sensitivity single cell RNA sequencing with split pool barcodingSemantic proximity Read