Asc-Seurat: analytical single-cell Seurat-based web application

Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as a powerful tool for discovering and characterizing cell types and their developmental trajectories. However, scRNA-seq analysis is complex, requiring a continuous, iterative process...

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Autores principales: W. J. Pereira, F. M. Almeida, D. Conde, K. M. Balmant, P. M. Triozzi, H. W. Schmidt, C. Dervinis, G. J. Pappas, M. Kirst
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/4b03afee582043438c940730d80ff4fb
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spelling oai:doaj.org-article:4b03afee582043438c940730d80ff4fb2021-11-21T12:09:15ZAsc-Seurat: analytical single-cell Seurat-based web application10.1186/s12859-021-04472-21471-2105https://doaj.org/article/4b03afee582043438c940730d80ff4fb2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12859-021-04472-2https://doaj.org/toc/1471-2105Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as 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 and uncover relevant biological information. A diversity of tools has been developed to address the multiple aspects of scRNA-seq data analysis. However, an easy-to-use web application capable of conducting all critical steps of scRNA-seq data analysis is still lacking. Summary We present Asc-Seurat, a feature-rich workbench, providing an user-friendly and easy-to-install web application encapsulating tools for an all-encompassing and fluid scRNA-seq data analysis. Asc-Seurat implements functions from the Seurat package for quality control, clustering, and genes differential expression. In addition, Asc-Seurat provides a pseudotime module containing dozens of models for the trajectory inference and a functional annotation module that allows recovering gene annotation and detecting gene ontology enriched terms. We showcase Asc-Seurat’s capabilities by analyzing a peripheral blood mononuclear cell dataset. Conclusions Asc-Seurat is a comprehensive workbench providing an accessible graphical interface for scRNA-seq analysis by biologists. Asc-Seurat significantly reduces the time and effort required to analyze and interpret the information in scRNA-seq datasets.W. J. PereiraF. M. AlmeidaD. CondeK. M. BalmantP. M. TriozziH. W. SchmidtC. DervinisG. J. PappasM. KirstBMCarticleSingle-cell RNA sequencingscRNA-seqWeb applicationGene expressionComputer applications to medicine. Medical informaticsR858-859.7Biology (General)QH301-705.5ENBMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Single-cell RNA sequencing
scRNA-seq
Web application
Gene expression
Computer applications to medicine. Medical informatics
R858-859.7
Biology (General)
QH301-705.5
spellingShingle Single-cell RNA sequencing
scRNA-seq
Web application
Gene expression
Computer applications to medicine. Medical informatics
R858-859.7
Biology (General)
QH301-705.5
W. J. Pereira
F. M. Almeida
D. Conde
K. M. Balmant
P. M. Triozzi
H. W. Schmidt
C. Dervinis
G. J. Pappas
M. Kirst
Asc-Seurat: analytical single-cell Seurat-based web application
description Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as 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 and uncover relevant biological information. A diversity of tools has been developed to address the multiple aspects of scRNA-seq data analysis. However, an easy-to-use web application capable of conducting all critical steps of scRNA-seq data analysis is still lacking. Summary We present Asc-Seurat, a feature-rich workbench, providing an user-friendly and easy-to-install web application encapsulating tools for an all-encompassing and fluid scRNA-seq data analysis. Asc-Seurat implements functions from the Seurat package for quality control, clustering, and genes differential expression. In addition, Asc-Seurat provides a pseudotime module containing dozens of models for the trajectory inference and a functional annotation module that allows recovering gene annotation and detecting gene ontology enriched terms. We showcase Asc-Seurat’s capabilities by analyzing a peripheral blood mononuclear cell dataset. Conclusions Asc-Seurat is a comprehensive workbench providing an accessible graphical interface for scRNA-seq analysis by biologists. Asc-Seurat significantly reduces the time and effort required to analyze and interpret the information in scRNA-seq datasets.
format article
author W. J. Pereira
F. M. Almeida
D. Conde
K. M. Balmant
P. M. Triozzi
H. W. Schmidt
C. Dervinis
G. J. Pappas
M. Kirst
author_facet W. J. Pereira
F. M. Almeida
D. Conde
K. M. Balmant
P. M. Triozzi
H. W. Schmidt
C. Dervinis
G. J. Pappas
M. Kirst
author_sort W. J. Pereira
title Asc-Seurat: analytical single-cell Seurat-based web application
title_short Asc-Seurat: analytical single-cell Seurat-based web application
title_full Asc-Seurat: analytical single-cell Seurat-based web application
title_fullStr Asc-Seurat: analytical single-cell Seurat-based web application
title_full_unstemmed Asc-Seurat: analytical single-cell Seurat-based web application
title_sort asc-seurat: analytical single-cell seurat-based web application
publisher BMC
publishDate 2021
url https://doaj.org/article/4b03afee582043438c940730d80ff4fb
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