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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2021
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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) |
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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 |
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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 |
work_keys_str_mv |
AT wjpereira ascseuratanalyticalsinglecellseuratbasedwebapplication AT fmalmeida ascseuratanalyticalsinglecellseuratbasedwebapplication AT dconde ascseuratanalyticalsinglecellseuratbasedwebapplication AT kmbalmant ascseuratanalyticalsinglecellseuratbasedwebapplication AT pmtriozzi ascseuratanalyticalsinglecellseuratbasedwebapplication AT hwschmidt ascseuratanalyticalsinglecellseuratbasedwebapplication AT cdervinis ascseuratanalyticalsinglecellseuratbasedwebapplication AT gjpappas ascseuratanalyticalsinglecellseuratbasedwebapplication AT mkirst ascseuratanalyticalsinglecellseuratbasedwebapplication |
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