Transcriptomics and Gene Expression

Overview

Transcriptomics provides a snapshot of which genes are active in a cell or tissue at a given time. Computational analysis of RNA-seq data enables the discovery of expression patterns, regulatory mechanisms, and disease-associated changes.

Key Topics

• Bulk RNA-seq analysis and differential expression
• Alternative splicing analysis
• Long non-coding RNA (lncRNA) characterization
• RNA modification analysis (m6A, Nanopore-based)
• CRISPR-based functional screens with transcriptomic readout
• Oxford Nanopore direct RNA sequencing

Applications

• Disease biomarker discovery
• Drug response profiling
• Developmental biology
• Stress response in plants and microbes