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| Assemblage de novo de transcriptomes× | Analyse d'écran CRISPR× | |
|---|---|---|
| Domaine | Bio-informatique | Bio-informatique |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2011 | 2013 |
| Auteur d'origine≠ | Aviv Regev | Feng Zhang |
| Type≠ | Sequence assembly pipeline | High-throughput genetic screen pipeline |
| Source fondatrice≠ | Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., ... & Regev, A. (2011). Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nature Biotechnology, 29(7), 644-652. DOI ↗ | Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., ... & Zhang, F. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science, 343(6166), 84-87. DOI ↗ |
| Alias≠ | transcriptome assembly, de novo assembly, RNA-Seq assembly | CRISPR pooled screen, genetic screen analysis |
| Apparentées | 3 | 3 |
| Résumé≠ | De novo transcriptome assembly reconstructs full-length messenger RNA sequences directly from sequencing reads without requiring a reference genome. Pioneered by Regev, Haas, and colleagues, this pipeline enables transcript discovery in non-model organisms and detection of novel isoforms, fusion genes, and splice variants. | CRISPR screen analysis processes data from pooled genetic screens using CRISPR-Cas9 to identify genes required for cell growth, survival, or phenotype in specific conditions. Developed by Zhang, Sanjana, and others, this computational pipeline transforms sequencing readouts of guide RNA abundances into ranked lists of functional genes. |
| ScholarGateJeu de données ↗ |
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