Single-cell RNA sequencing technologies and bioinformatics …
WEBAug 7, 2018 · Single-cell RNA sequencing (scRNA-seq), for example, can reveal complex and rare cell populations, uncover regulatory relationships between genes, and track the trajectories of distinct...
Tutorial: guidelines for the computational analysis of single-cell RNA …
WEBDec 7, 2020 · In this Tutorial Review, Hemberg et al. present an overview of the computational workflow involved in processing single-cell RNA sequencing data.
Practical bioinformatics pipelines for single-cell RNA-seq data ...
WEBJun 6, 2022 · According to the single-cell isolation and capture strategy, currently, scRNA-seq techniques can be categorized into two main approaches, the plate- or microfluidic-based methods and droplet-based methods. Plate-based protocols use the fluorescence-activated cell sorting (FACS) to isolate the individual cells.
A systematic evaluation of single cell RNA-seq analysis pipelines - Nature
WEBOct 11, 2019 · There has been a rapid rise in single cell RNA-seq methods and associated pipelines. Here the authors use simulated data to systematically evaluate the performance of 3000 possible...
Current best practices in single‐cell RNA‐seq analysis: a tutorial
WEBJun 19, 2019 · Here, we detail the steps of a typical single‐cell RNA ‐seq analysis, including pre‐processing (quality control, normalization, data correction, feature selection, and dimensionality reduction) and cell‐ and gene‐level downstream analysis.
Exploring the Seurat Single-Cell RNA-Seq Analysis Pipeline 2024 ...
WEB4 days ago · The Seurat single-cell RNA-seq analysis pipeline 2024 offers a flexible and powerful approach to analyzing scRNA-seq data. Whether you are filtering low-quality cells, comparing different conditions, or integrating multiple datasets, Seurat provides tools to make complex analyses easier. Each scenario in …
ScRNAPip: A systematic and dynamic pipeline for single‐cell RNA ...
WEBSingle-cell sequencing technology refers to a new technology for high-throughput sequencing analysis of the genome, transcriptome, and epigenome at the level of a single cell. It can reveal the gene structure and gene expression status of a single cell and reflect the heterogeneity between cells.
GitHub - zhanghao-njmu/SCP: An end-to-end Single-Cell Pipeline …
WEBPipelines embedded with multiple integration methods for scRNA-seq or scATAC-seq data, including Uncorrected, Seurat, scVI, MNN, fastMNN, Harmony, Scanorama, BBKNN, CSS, LIGER, Conos, ComBat. Multiple methods for automatic annotation of single-cell data and methods for projection between single-cell datasets.
A single-cell RNAseq pipeline for 10X genomics data - GitHub
WEBnf-core/scrnaseq is a bioinformatics best-practice analysis pipeline for processing 10x Genomics single-cell RNA-seq data. This is a community effort in building a pipeline capable to support: Alevin-Fry + AlevinQC. STARSolo. Kallisto + BUStools. Cellranger. UniverSC. Documentation.
Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
WEBSince its introduction, single-cell RNA sequencing (scRNA-seq) approaches have revolutionized the genomics field as they created unprecedented opportunities for resolving cell heterogeneity by exploring gene expression profiles at a single-cell resolution.
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