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Asc-Seurat – Analytical single-cell Seurat-based web application

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Abstract Summary Single-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 implementation Asc-Seurat is available at https://github.com/KirstLab/asc_seurat/ and released under GNU 3 license. Contact mkirst@ufl.edu Supplementary information Supplementary data are available at Bioinformatics online.
Title: Asc-Seurat – Analytical single-cell Seurat-based web application
Description:
Abstract Summary Single-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 implementation Asc-Seurat is available at https://github.
com/KirstLab/asc_seurat/ and released under GNU 3 license.
Contact mkirst@ufl.
edu Supplementary information Supplementary data are available at Bioinformatics online.

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