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- Publisher Website: 10.1093/nargab/lqaf063
- Scopus: eid_2-s2.0-105005495913
- WOS: WOS:001490213600001
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Article: Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline
| Title | Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline |
|---|---|
| Authors | |
| Issue Date | 19-May-2025 |
| Publisher | Oxford University Press |
| Citation | NAR Genom Bioinform, 2025, v. 7, n. 2 How to Cite? |
| Abstract | Single-cell sequencing technologies provide us with information at the level of individual cells. Combining single-cell RNA-seq and single-cell TCR-seq profiling enables the exploration of cell heterogeneity and T-cell receptor repertoires simultaneously. Integrating both types of data can play a crucial role in enhancing our understanding of T-cell-mediated immunity and, in turn, facilitate the advancement of immunotherapy. Here, we present immunopipe, a comprehensive and flexible pipeline to perform integrated analysis of scRNA-seq and scTCR-seq data. In addition to the command line tool, we provide a user-friendly web interface for pipeline configuration and execution monitoring, benefiting researchers without extensive programming experience. With its comprehensive functionality and ease of use, immunopipe empowers researchers to uncover valuable insights from scRNA-seq and scTCR-seq data, ultimately advancing the understanding of immune responses and immunotherapy development. |
| Persistent Identifier | http://hdl.handle.net/10722/356790 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Panwen | - |
| dc.contributor.author | Yu, Yue | - |
| dc.contributor.author | Dong, Haidong | - |
| dc.contributor.author | Zhang, Shuwen | - |
| dc.contributor.author | Sun, Zhifu | - |
| dc.contributor.author | Zeng, Hu | - |
| dc.contributor.author | Mondello, Patrizia | - |
| dc.contributor.author | Kocher, Jean-Pierre A | - |
| dc.contributor.author | Wang, Junwen | - |
| dc.contributor.author | Asmann, Yan W | - |
| dc.contributor.author | Lin, Yi | - |
| dc.contributor.author | Li, Ying | - |
| dc.date.accessioned | 2025-06-17T00:35:22Z | - |
| dc.date.available | 2025-06-17T00:35:22Z | - |
| dc.date.issued | 2025-05-19 | - |
| dc.identifier.citation | NAR Genom Bioinform, 2025, v. 7, n. 2 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/356790 | - |
| dc.description.abstract | <p>Single-cell sequencing technologies provide us with information at the level of individual cells. Combining single-cell RNA-seq and single-cell TCR-seq profiling enables the exploration of cell heterogeneity and T-cell receptor repertoires simultaneously. Integrating both types of data can play a crucial role in enhancing our understanding of T-cell-mediated immunity and, in turn, facilitate the advancement of immunotherapy. Here, we present immunopipe, a comprehensive and flexible pipeline to perform integrated analysis of scRNA-seq and scTCR-seq data. In addition to the command line tool, we provide a user-friendly web interface for pipeline configuration and execution monitoring, benefiting researchers without extensive programming experience. With its comprehensive functionality and ease of use, immunopipe empowers researchers to uncover valuable insights from scRNA-seq and scTCR-seq data, ultimately advancing the understanding of immune responses and immunotherapy development.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | Oxford University Press | - |
| dc.relation.ispartof | NAR Genom Bioinform | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1093/nargab/lqaf063 | - |
| dc.identifier.scopus | eid_2-s2.0-105005495913 | - |
| dc.identifier.volume | 7 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.eissn | 2631-9268 | - |
| dc.identifier.isi | WOS:001490213600001 | - |
| dc.identifier.issnl | 2631-9268 | - |
