Asc-Seurat - Analytical single-cell Seurat-based web application
Wendell J. PereiraiD, Felipe Marques de AlmeidaiD, Kelly M. BalmantiD, Daniel CondeiD, Paolo Maria TriozziiD, Henry W. SchmidtiD, Christopher DervinisiD, Georgios Joannis Pappas JriD, Matias KirstiD
Abstract
SummarySingle-cell RNA sequencing (scRNA-seq) has become a popular approach for studying the transcriptome, providing a powerful tool for discovering and characterizing cell types and their developmental trajectories. However, scRNA-seq analysis is complex, requiring a continuous, iterative process to refine the data processing and uncover relevant biological information. We present Asc-Seurat, a feature rich workbench, providing a user-friendly and easy-to-install web application encapsulating the necessary tools for an all-encompassing and fluid scRNA-seq data analysis. Availability and implementationAsc-Seurat is available at https://github.com/KirstLab/asc_seurat/ and released under GNU 3 license. Contactmkirst@ufl.edu Supplementary informationSupplementary data are available at Bioinformatics online.
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