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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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