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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17525233 |
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| _version_ | 1866901629979066368 |
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| author | El Taher, Athimed |
| author_facet | El Taher, Athimed |
| contents | <p>This <strong>R workflow</strong> enables a fully reproducible single-cell RNA-seq analyse as described in the following publication <em>(Publication ID will be added when the paper is out)</em>.</p> <p>The primary input for the analysis, along with all raw files, is available via the GEO record <strong><a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE261266">GSE261266</a>. </strong> </p> <p>Additional details on pre-processing and experimental procedures are provided in the Materials and Methods section of the corresponding publication.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17525233 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | R Markdown to analyse single-cell RNA-seq data of TPO-stimulated Evi1highFlt3-LSK iKMT2A-MLLT3 mouse cells El Taher, Athimed <p>This <strong>R workflow</strong> enables a fully reproducible single-cell RNA-seq analyse as described in the following publication <em>(Publication ID will be added when the paper is out)</em>.</p> <p>The primary input for the analysis, along with all raw files, is available via the GEO record <strong><a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE261266">GSE261266</a>. </strong> </p> <p>Additional details on pre-processing and experimental procedures are provided in the Materials and Methods section of the corresponding publication.</p> |
| title | R Markdown to analyse single-cell RNA-seq data of TPO-stimulated Evi1highFlt3-LSK iKMT2A-MLLT3 mouse cells |
| url | https://doi.org/10.5281/zenodo.17525233 |