Single-Cell RNA-Seq Data Analysis

Join BioCompiler’s Comprehensive Single-Cell RNA-Seq (scRNA-Seq) Data Analysis Workshop and elevate your bioinformatics expertise to new heights!

Why Single-Cell RNA-Seq Matters?

Single-cell RNA sequencing is revolutionizing biology by allowing researchers to explore gene expression at the resolution of individual cells. This cutting-edge technology is key to uncovering cellular diversity, understanding developmental processes, and advancing disease research.

After completing this workshop, you will be able to:

1. Understand scRNA-Seq Basics: Grasp the principles of single-cell transcriptomics and its applications in biological research.

2. Gain Confidence in R Programming: Learn the fundamentals of R programming for data manipulation and visualization in bioinformatics workflows.

3. Master Data Preprocessing: Perform essential preprocessing steps, including quality control, filtering, and normalization of scRNA-Seq data.

4. Analyze Clusters and Marker Genes: Identify cell populations, detect differentially expressed genes, and interpret biological pathways.

5. Visualize Cellular Landscapes: Create informative plots, such as t-SNE, UMAP, and heatmaps, to represent single-cell data effectively.

6. Perform Advanced Analysis: Explore trajectory inference, pseudotime analysis, and integrative workflows for multi-omics data.

7. Apply Reproducible Workflows: Implement best practices for scalable, robust, and reproducible scRNA-Seq analysis.

This workshop provides you with the tools to tackle real-world single-cell projects and derive actionable biological insights.