RNA-seq is a high-throughput sequencing technique used to analyze the transcriptome of a cell. Technical variability in RNA-seq can arise from various sources, including differences in library preparation, sequencing platforms, and data analysis pipelines. This research activity aims to investigate the impact of technical variability on the accuracy and reproducibility of RNA-seq results. By analyzing the data from multiple technical replicates, we can identify the sources of variability and develop strategies to minimize them. This study will provide valuable insights into the optimization of RNA-seq protocols and the development of more robust data analysis methods.