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

Claire Weber, Marissa B. Hirst, Ben Ernest, Hannah Baskir, Carlos A. Tristan, Pei-Hsuan Chu, Ilyas Singeç
doi: https://doi.org/10.1101/2022.02.23.481646
Claire Weber
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Marissa B. Hirst
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Ben Ernest
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Hannah Baskir
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Carlos A. Tristan
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Pei-Hsuan Chu
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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Ilyas Singeç
Stem Cell Translation Laboratory (SCTL), Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD 20850, USA
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  • For correspondence: ilyas.singec@nih.gov
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Abstract

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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵1 Co-first authors

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted February 24, 2022.
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SEQUIN: rapid and reproducible analysis of RNA-seq data in R/Shiny
Claire Weber, Marissa B. Hirst, Ben Ernest, Hannah Baskir, Carlos A. Tristan, Pei-Hsuan Chu, Ilyas Singeç
bioRxiv 2022.02.23.481646; doi: https://doi.org/10.1101/2022.02.23.481646
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SEQUIN: rapid and reproducible analysis of RNA-seq data in R/Shiny
Claire Weber, Marissa B. Hirst, Ben Ernest, Hannah Baskir, Carlos A. Tristan, Pei-Hsuan Chu, Ilyas Singeç
bioRxiv 2022.02.23.481646; doi: https://doi.org/10.1101/2022.02.23.481646

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