Article

Single-cell RNA-seq analysis v1

2026-07-31

Abstract excerpt

Tumor single-cell suspensions were processed using 10× Genomics v3.1 scRNA-seq, sequenced on NovaSeq 6000 (PE150), aligned to mm10 with Cell Ranger, and analyzed in Seurat after quality filtering and LogNormalize normalization.

Topics

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

Identifiers and source

Literature Corpus work: b1c30471-d3e9-5181-abbd-f81894851b5a
DOI: 10.17504/protocols.io.8epv5wx5dv1b/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single-cell RNA-seq analysis v1DOI 10.17504/protocols.io.8epv5wx5dv1b/v1Read

Single-cell RNA sequencing in cancer: Applications, advances, and emerging challengesSemantic proximity Read

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumorsSemantic proximity Read

Single‐cell RNA sequencing in cancer researchSemantic proximity Read

A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumorsSemantic proximity Read

Advances in single-cell RNA sequencing and its applications in cancer research.Semantic proximity Read

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

Single-cell sequencing to quantify genomic integrity in cancer.Semantic proximity Read

[Future Perspectives of Single-Cell RNA Sequencing in Cancer Research].Semantic proximity Read

Tumor genetic analysis from single-cell RNA-seq data.Semantic proximity Read

Single‐Cell RNA Sequencing in Hematological DiseasesSemantic proximity Read

Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasisSemantic proximity Read

scAmpi - A versatile pipeline for single-cell RNA-seq analysis from basics to clinicsSemantic proximity Read