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Bulk RNA-seq Analysis

RNA sequencing (RNA-seq) analysis is a powerful method used to study the transcriptome of a cell or organism. This workflow provides a comprehensive guide for users, starting from raw sequencing reads and proceeding to the identification of differentially expressed genes and their biological interpretation. Key steps include quality control of raw data, alignment of reads to a reference genome, quantification of gene and transcript expression levels, and statistical analysis to uncover significant changes between different experimental groups. The guide also covers downstream analyses such as pathway enrichment, gene ontology (GO) analysis, and various visualization techniques to help interpret the functional implications of expression changes. By following this workflow, researchers can derive meaningful biological insights from their RNA-seq data.

📄️ Differential Gene Expression Analysis in Bulk RNA-Seq

Differential Gene Expression (DGE) analysis is a fundamental technique in genomics used to identify genes that show different expression levels between two or more experimental conditions (e.g., treated vs. control, healthy vs. diseased). By pinpointing which genes are up- or down-regulated, researchers can uncover the biological pathways and molecular mechanisms affected by a particular treatment, disease state, or genetic modification. This analysis is crucial for understanding the functional consequences of changes in gene expression.