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ICARUS, an interactive web server for single cell RNA-seq analysis
Here we present ICARUS, a web server to enable users without experience in R to undertake single cell RNA-seq analysis. The focal point of ICARUS is its intuitive tutorial-style user interface, designed to guide logical navigation through the multitude of pre-processing, analysis and visualization s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252722/ https://www.ncbi.nlm.nih.gov/pubmed/35536286 http://dx.doi.org/10.1093/nar/gkac322 |
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author | Jiang, Andrew Lehnert, Klaus You, Linya Snell, Russell G |
author_facet | Jiang, Andrew Lehnert, Klaus You, Linya Snell, Russell G |
author_sort | Jiang, Andrew |
collection | PubMed |
description | Here we present ICARUS, a web server to enable users without experience in R to undertake single cell RNA-seq analysis. The focal point of ICARUS is its intuitive tutorial-style user interface, designed to guide logical navigation through the multitude of pre-processing, analysis and visualization steps. ICARUS is easily accessible through a dedicated web server (https://launch.icarus-scrnaseq.cloud.edu.au/) and avoids installation of software on the user's computer. Notable features include the facility to apply quality control thresholds and adjust dimensionality reduction and cell clustering parameters. Data is visualized through 2D/3D UMAP and t-SNE plots and may be curated to remove potential confounders such as cell cycle heterogeneity. ICARUS offers flexible differential expression analysis with user-defined cell groups and gene set enrichment analysis to identify likely affected biological pathways. Eleven organisms including human, dog, mouse, rat, zebrafish, fruit fly, nematode, yeast, cattle, chicken and pig are currently supported. Visualization of multimodal data including those generated by CITE-seq and the 10X Genomics Multiome kit is included. ICARUS incorporates a function to save the current state of analysis avoiding computationally intensive steps during repeat analysis. The complete analysis of a typical single cell RNA-seq dataset by inexperienced users may be achieved in 1–2 h. |
format | Online Article Text |
id | pubmed-9252722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92527222022-07-05 ICARUS, an interactive web server for single cell RNA-seq analysis Jiang, Andrew Lehnert, Klaus You, Linya Snell, Russell G Nucleic Acids Res Web Server Issue Here we present ICARUS, a web server to enable users without experience in R to undertake single cell RNA-seq analysis. The focal point of ICARUS is its intuitive tutorial-style user interface, designed to guide logical navigation through the multitude of pre-processing, analysis and visualization steps. ICARUS is easily accessible through a dedicated web server (https://launch.icarus-scrnaseq.cloud.edu.au/) and avoids installation of software on the user's computer. Notable features include the facility to apply quality control thresholds and adjust dimensionality reduction and cell clustering parameters. Data is visualized through 2D/3D UMAP and t-SNE plots and may be curated to remove potential confounders such as cell cycle heterogeneity. ICARUS offers flexible differential expression analysis with user-defined cell groups and gene set enrichment analysis to identify likely affected biological pathways. Eleven organisms including human, dog, mouse, rat, zebrafish, fruit fly, nematode, yeast, cattle, chicken and pig are currently supported. Visualization of multimodal data including those generated by CITE-seq and the 10X Genomics Multiome kit is included. ICARUS incorporates a function to save the current state of analysis avoiding computationally intensive steps during repeat analysis. The complete analysis of a typical single cell RNA-seq dataset by inexperienced users may be achieved in 1–2 h. Oxford University Press 2022-05-10 /pmc/articles/PMC9252722/ /pubmed/35536286 http://dx.doi.org/10.1093/nar/gkac322 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Jiang, Andrew Lehnert, Klaus You, Linya Snell, Russell G ICARUS, an interactive web server for single cell RNA-seq analysis |
title | ICARUS, an interactive web server for single cell RNA-seq analysis |
title_full | ICARUS, an interactive web server for single cell RNA-seq analysis |
title_fullStr | ICARUS, an interactive web server for single cell RNA-seq analysis |
title_full_unstemmed | ICARUS, an interactive web server for single cell RNA-seq analysis |
title_short | ICARUS, an interactive web server for single cell RNA-seq analysis |
title_sort | icarus, an interactive web server for single cell rna-seq analysis |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252722/ https://www.ncbi.nlm.nih.gov/pubmed/35536286 http://dx.doi.org/10.1093/nar/gkac322 |
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