Combinatorial CRISPR screen identifies fitness effects of gene paralogues
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DOI: 10.1038/s41467-021-21478-9
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Cited by:
- Sumana Srivatsa & Hesam Montazeri & Gaia Bianco & Mairene Coto-Llerena & Mattia Marinucci & Charlotte K. Y. Ng & Salvatore Piscuoglio & Niko Beerenwinkel, 2022. "Discovery of synthetic lethal interactions from large-scale pan-cancer perturbation screens," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
- Ruitong Li & Olaf Klingbeil & Davide Monducci & Michael J. Young & Diego J. Rodriguez & Zaid Bayyat & Joshua M. Dempster & Devishi Kesar & Xiaoping Yang & Mahdi Zamanighomi & Christopher R. Vakoc & Ta, 2022. "Comparative optimization of combinatorial CRISPR screens," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Luis V. Valcárcel & Edurne San José-Enériz & Raquel Ordoñez & Iñigo Apaolaza & Danel Olaverri-Mendizabal & Naroa Barrena & Ana Valcárcel & Leire Garate & Jesús San Miguel & Antonio Pineda-Lucena & Xab, 2024. "An automated network-based tool to search for metabolic vulnerabilities in cancer," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Nazanin Esmaeili Anvar & Chenchu Lin & Xingdi Ma & Lori L. Wilson & Ryan Steger & Annabel K. Sangree & Medina Colic & Sidney H. Wang & John G. Doench & Traver Hart, 2024. "Efficient gene knockout and genetic interaction screening using the in4mer CRISPR/Cas12a multiplex knockout platform," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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