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

Author:

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

Abstract

AbstractSEQUIN 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.

Publisher

Cold Spring Harbor Laboratory

Reference24 articles.

1. Wang, Y.J. et al. Comparative analysis of commercially available single-cell RNA sequencing platforms for their performance in complex human tissues. bioRxiv, 541433 (2019).

2. The reproducibility crisis in the age of digital medicine

3. Current RNA-seq methodology reporting limits reproducibility;Briefings in Bioinformatics,2021

4. Computational strategies for single-cell multi-omics integration;Computational and Structural Biotechnology Journal,2021

5. Jeng, S.L. , Chi, Y.C. , Ma, M.C. , Chan, S.H. & Sun, H.S. Gene expression analysis of combined RNA-seq experiments using a receiver operating characteristic calibrated procedure.

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