Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. [[RNA sequencing]] analysis) is a powerful technique used to study the [[transcriptome]]—the complete set of [[RNA]] [[transcript]]s produced by the [[genome]] under specific conditions. Here's a concise definition: ====== RNA-seq Analysis ====== RNA-seq analysis refers to the bioinformatic and statistical processing of RNA sequencing data to quantify, compare, and interpret gene expression levels across samples. It involves: Sequencing RNA transcripts (usually after converting to cDNA) Mapping the reads to a reference genome or transcriptome Quantifying expression levels of genes or transcripts Detecting differentially expressed genes (DEGs) between conditions Exploring alternative splicing, fusion transcripts, non-coding RNAs, and allele-specific expression This method allows researchers to: Identify genes involved in disease Compare expression between cell types or treatments Discover novel transcripts ((RNA-seq is widely used in cancer biology, developmental studies, and personalized medicine)) Tags: [[transcriptomics]], [[gene expression]], [[NGS]], [[bioinformatics]], [[differential expression]] rna_sequencing_analysis.txt Last modified: 2025/07/06 16:51by administrador