Rna seq

Common RNA-seq Data Analysis Workflow:

1. Quality Control: Once sequencing data for the extracted RNA is received, the quality of the data is assessed using tools like FASTQC. Any adapters used during sequencing are removed using tools such as Trimmomatic.


2. Read Alignment: The quality-controlled reads are then mapped to a reference genome using alignment tools like STAR. While there are several tools available for alignment, performance can vary depending on the tool chosen.


3. Transcript Quantification: After alignment, the genomic data is converted into transcriptomic data, and the differences in gene expression between samples are quantified.


4. Differential Expression Analysis: A Differentially Expressed Gene (DEG) analysis is performed using tools like DESeq2 or edgeR to identify genes that are significantly up- or down-regulated in different samples.