SLNSW-Computational correction of copy number effect im...-TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

Full title: Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

Author/creator: Meyers, Robin M, Bryan, Jordan G, McFarland, James M, Weir, Barbara A, Sizemore, Ann E, Xu, Han, Dharia, Neekesh V, Montgomery, Phillip G, Cowley, Glenn S, Pantel, Sasha, Goodale, Amy, Lee, Yenarae, Ali, Levi D, Jiang, Guozhi, Lubonja, Rakela, Harrington, William F, Strickland, Matthew, Wu, Ting, Hawes, Derek C, Zhivich, Victor A, Wyatt, Meghan R, Kalani, Zohra, Chang, Jaime J, Okamoto, Michael, Stegmaier, Kimberly, Golub, Todd R, Boehm, Jesse S, Vazquez, Francisca, Root, David E, Hahn, William C, Tsherniak, Aviad.

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Record Identifier: TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

Language: English

Formats: Articles

Publishers: United States: Nature Publishing Group

Permalink: https://collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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    Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

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    TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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    https://collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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    Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

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    https://collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

    Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

    Full title

    Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

    Author / Creator

    Meyers, Robin M ; Bryan, Jordan G ; McFarland, James M ; Weir, Barbara A ; Sizemore, Ann E ; Xu, Han ; Dharia, Neekesh V ; Montgomery, Phillip G ; Cowley, Glenn S ; Pantel, Sasha ; Goodale, Amy ; Lee, Yenarae ; Ali, Levi D ; Jiang, Guozhi ; Lubonja, Rakela ; Harrington, William F ; Strickland, Matthew ; Wu, Ting ; Hawes, Derek C ; Zhivich, Victor A ; Wyatt, Meghan R ; Kalani, Zohra ; Chang, Jaime J ; Okamoto, Michael ; Stegmaier, Kimberly ; Golub, Todd R ; Boehm, Jesse S ; Vazquez, Francisca ; Root, David E ; Hahn, William C ; Tsherniak, Aviad

    Publisher

    United States: Nature Publishing Group

    Journal title

    Nature genetics, 2017, Vol.49 (12), p.1779-1784

    Record Identifier

    TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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    English

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    Algorithms Breast cancer Cancer Carcinogenesis Cell Line, Tumor Cell survival Computation Computational Biology - methods Computer applications Copy number Copy number variations CRISPR CRISPR-Cas Systems Datasets Deoxyribonucleic acid DNA DNA Copy Number Variations Encyclopedias Gene Dosage - genetics Genes Genetic aspects Genetic engineering Genetic modification Genetic Predisposition to Disease - genetics Genomes Genomics Health aspects Humans Innovations Leukemia Library collections Medical screening Models, Genetic Multiplexing Neoplasms - diagnosis Neoplasms - genetics Reproducibility of Results Screens Sensitivity and Specificity Technology application Tumor cell lines

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    TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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    https://collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5709193

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