U.S. Department of Health and Human ServicesHHS National Institutes of HealthNIH National Center for Advancing Translational SciencesNCATS

SEQUIN: rapid and reproducible analysis of RNA-seq data in R/Shiny

Posted on February 25th, 2022 by Hannah Baskir

Claire Weber, Marissa B Hirst, Ben Ernest, Hannah Baskir, Carlos A Tristan, Pei-Hsuan Chu, Ilyas SingeƧ

National Center for Advancing Translational Sciences (NCATS), Stem Cell Translation Laboratory (SCTL), National Institutes of Health (NIH), Rockville, MD, USA.


SEQUIN is a new web application (app) that allows fast and intuitive RNA-sequencing data analysis for organisms, tissues, and single cells. Integrated app functions enable uploading datasets, quality control, gene set enrichment, data visualization, and differential gene expression analysis. We also present the iPSC Profiler, a practical tool that helps to measure pluripotency and cell differentiation. Freely available to the public, SEQUIN empowers scientists to investigate transcriptome data firsthand with cutting edge statistical methods.