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bioRxiv · 10.1101/2021.03.19.435534

SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis

Moussa, M.·Mandoiu, I.
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Abstract

Single cell RNA-Seq (scRNA-Seq) is critical for studying cellular function and phenotypic heterogeneity as well as the development of tissues and tumors. Here, we present SC1 a web-based highly interactive scRNA-Seq data analysis tool publicly accessible at https://sc1.engr.uconn.edu. The tool presents an integrated workflow for scRNA-Seq analysis, implements a novel method of selecting informative genes based on Term-Frequency Inverse-Document-Frequency (TF-IDF) scores, and provides a broad range of methods for clustering, differential expression analysis, gene enrichment, interactive visualization, and cell cycle analysis. The tool integrates other single cell omics data modalities like TCR-Seq and supports several single cell sequencing technologies. In just a few steps, researchers can generate a comprehensive analysis and gain powerful insights from their scRNA-Seq data.

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Moussa, M., Mandoiu, I.. 2021-03-20. SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis. https://doi.org/10.1101/2021.03.19.435534

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