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bioRxiv · 10.1101/2021.03.19.436196

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

Pereira, W. J.·de Almeida, F. M.·Balmant, K. M.·Conde, D.·Triozzi, P. M.·Schmidt, H. W.·Dervinis, C.·Pappas, G. J.·Kirst, M.
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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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Pereira, W. J., de Almeida, F. M., Balmant, K. M., Conde, D., Triozzi, P. M., Schmidt, H. W., Dervinis, C., Pappas, G. J., Kirst, M.. 2021-03-20. Asc-Seurat - Analytical single-cell Seurat-based web application. https://doi.org/10.1101/2021.03.19.436196

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