Скачать или смотреть Transcriptomics Data Analysis (TDA): Class 04

Transcriptomics Data Analysis (TDA)is a comprehensive, step-by-step course designed to build strong foundations and practical skills in modern RNA-Seq and single-cell transcriptomics analysis.

This series covers the complete workflow—from understanding RNA-Seq technologies and setting up a Linux-based analysis environment, to performing bulk RNA-Seq analysis using Salmon and advanced data visualization in R. You’ll progressively move into single-cell RNA-seq (scRNA-seq), learning quantification with kb-python, quality control, dimensionality reduction, data integration, clustering, differential expression, cell-type annotation, and trajectory inference.

The classes are structured to balance theory, hands-on command-line practice, and real-world data analysis, making the course suitable for students, researchers, and professionals in bioinformatics, genomics, and computational biology.

Whether you’re new to transcriptomics or aiming to strengthen your analytical pipeline, this course provides a practical and reproducible framework for analyzing high-throughput gene expression data.

🔗 For more information and resources:
https://bio.link/deepbioltd