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...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/96870 |
| _version_ | 1848766202549108736 |
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| author | Stephenson, M. Nip, K.M. Hafezqorani, S. Gagalova, Kristina Yang, C. Warren, R.L. Birol, I. |
| author_facet | Stephenson, M. Nip, K.M. Hafezqorani, S. Gagalova, Kristina Yang, C. Warren, R.L. Birol, I. |
| author_sort | Stephenson, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T11:47:24Z |
| format | Journal Article |
| id | curtin-20.500.11937-96870 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | eng |
| last_indexed | 2025-11-14T11:47:24Z |
| publishDate | 2021 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-968702025-03-20T05:34:10Z RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes Stephenson, M. Nip, K.M. Hafezqorani, S. Gagalova, Kristina Yang, C. Warren, R.L. Birol, I. 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. 2021 Journal Article http://hdl.handle.net/20.500.11937/96870 10.1093/nargab/lqab105 eng http://creativecommons.org/licenses/by-nc/4.0/ Oxford University Press fulltext |
| spellingShingle | Stephenson, M. Nip, K.M. Hafezqorani, S. Gagalova, Kristina Yang, C. Warren, R.L. Birol, I. 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 |
| url | http://hdl.handle.net/20.500.11937/96870 |