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RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes
Recent advances in single-cell RNA sequencing technologies have made detection of transcripts in single cells possible. The level of resolution provided by these technologies can be used to study changes in transcript usage across cell populations and help investigate new biology. Here, we introduce...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633890/ https://www.ncbi.nlm.nih.gov/pubmed/34859209 http://dx.doi.org/10.1093/nargab/lqab105 |
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author | Stephenson, Maria Nip, Ka Ming HafezQorani, Saber Gagalova, Kristina K Yang, Chen Warren, René L Birol, Inanc |
author_facet | Stephenson, Maria Nip, Ka Ming HafezQorani, Saber Gagalova, Kristina K Yang, Chen Warren, René L Birol, Inanc |
author_sort | Stephenson, Maria |
collection | PubMed |
description | Recent advances in single-cell RNA sequencing technologies have made detection of transcripts in single cells possible. The level of resolution provided by these technologies can be used to study changes in transcript usage across cell populations and help investigate new biology. Here, we introduce RNA-Scoop, an interactive cell cluster and transcriptome visualization tool to analyze transcript usage across cell categories and clusters. The tool allows users to examine differential transcript expression across clusters and investigate how usage of specific transcript expression mechanisms varies across cell groups. |
format | Online Article Text |
id | pubmed-8633890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86338902021-12-01 RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes Stephenson, Maria Nip, Ka Ming HafezQorani, Saber Gagalova, Kristina K Yang, Chen Warren, René L Birol, Inanc NAR Genom Bioinform APP Notes Recent advances in single-cell RNA sequencing technologies have made detection of transcripts in single cells possible. The level of resolution provided by these technologies can be used to study changes in transcript usage across cell populations and help investigate new biology. Here, we introduce RNA-Scoop, an interactive cell cluster and transcriptome visualization tool to analyze transcript usage across cell categories and clusters. The tool allows users to examine differential transcript expression across clusters and investigate how usage of specific transcript expression mechanisms varies across cell groups. Oxford University Press 2021-11-29 /pmc/articles/PMC8633890/ /pubmed/34859209 http://dx.doi.org/10.1093/nargab/lqab105 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. 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 | APP Notes Stephenson, Maria Nip, Ka Ming HafezQorani, Saber Gagalova, Kristina K Yang, Chen Warren, René L Birol, Inanc RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title | RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title_full | RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title_fullStr | RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title_full_unstemmed | RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title_short | RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes |
title_sort | rna-scoop: interactive visualization of transcripts in single-cell transcriptomes |
topic | APP Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633890/ https://www.ncbi.nlm.nih.gov/pubmed/34859209 http://dx.doi.org/10.1093/nargab/lqab105 |
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