scRNA sequencing

scRNA seq Data Analysis

scRNA-seq (single cell RNA sequencing) examines the sequence information from individual cells with optimized next-generation sequencing technologies, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment. scRNA-Seq provides deeper insight to the multi-tiered complexity of different cells within the same tissue type. TACGenomics use the cutting-edge pipeline to analyze your scRNA-seq data. We put more attention to quality control and data visualization.

The services for scRNA seq data analysis includes:
01

Convert the fastq to the gene expression count matrix using 10X cellranger

02

Quality Control and low quality cell removal

03

Data normalization and variance modelling for each sample

04

Data integration using Harmony/MNN method

05

Clusters generation and marker gene identification of each cluster

06

Cell type identification by marker genes(manual) and/or singleR method (automatic)

07

Data visualization by Umap/Tsne/Dotplot/Violin/Heatmap

08

Gene expression comparison of the same cell type between samples

09

Trajectory analysis (if applied)

10

cell-cell communication analysis (if applied)

11

Single-Cell regulatory Network Inference and Clustering (if applied)