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

Weber, C.; Hirst, M. B.; Ernest, B.; Baskir, H.; Tristan, C. A.; Chu, P.-H.; Singec, I.

2022-02-24 bioinformatics
10.1101/2022.02.23.481646 bioRxiv
Show 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.

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The top 3 journals account for 50% of the predicted probability mass.

1
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4
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Top 2%
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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.