TY - JOUR T1 - Asc-Seurat – Analytical single-cell Seurat-based web application JF - bioRxiv DO - 10.1101/2021.03.19.436196 SP - 2021.03.19.436196 AU - WJ Pereira AU - FM Almeida AU - KM Balmant AU - DC Rodriguez AU - PM Triozzi AU - HW Schmidt AU - C Dervinis AU - GJ Pappas, Jr AU - M Kirst Y1 - 2021/01/01 UR - http://biorxiv.org/content/early/2021/03/20/2021.03.19.436196.abstract N2 - 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{at}ufl.eduSupplementary information Supplementary data are available at Bioinformatics online.Competing Interest StatementThe authors have declared no competing interest. ER -