The process generally involves several steps: 1. Data Preprocessing: Raw data is cleaned and quality-checked. 2. Alignment: Sequencing reads are aligned to a reference genome. 3. Quantification: The number of reads mapping to each gene is counted. 4. Normalization: Data is normalized to account for differences in sequencing depth and other technical variations. 5. Statistical Testing: Differential expression is assessed using statistical models to identify significantly altered genes.
