Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi wa Skrini ya CRISPR× | Mkusanyiko wa Transkriptomu wa De Novo× | |
|---|---|---|
| Nyanja | Bioinformatiki | Bioinformatiki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2013 | 2011 |
| Mwanzilishi≠ | Feng Zhang | Aviv Regev |
| Aina≠ | High-throughput genetic screen pipeline | Sequence assembly pipeline |
| Chanzo asilia≠ | 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 ↗ | 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 ↗ |
| Majina mbadala≠ | CRISPR pooled screen, genetic screen analysis | transcriptome assembly, de novo assembly, RNA-Seq assembly |
| Zinazohusiana | 3 | 3 |
| Muhtasari≠ | 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. | 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. |
| ScholarGateSeti ya data ↗ |
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