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Raw sequencing data on gene editing efficiency
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2020-11-04
相关数据集
Data underlying Figs 1C, 1D, 1F, 1G, and 4C.
(A-D) Knock-in efficiencies (% of total cell population) as determined by flow cytometry analysis for Fig 1C, 1D, 1F and 1G. (E) Fluorescent signals reported in Fig 4C. Values are corrected as explain
NIAID Data Ecosystem30
Rate of germline transmission of ZFN-induced mutations.
a: Counted only the founders where progeny was analyzed by both methods. b: Calculated assuming only one embryo in the pools with mutant peaks is heterozygous.
NIAID Data Ecosystem20
Measured gene-targeting frequencies into two loci in WT and Δ xpf cells.
The table depicts the gene-targeting efficiencies into two independent genetic loci of WT and Δxpf cells. For each locus multiple transfections were performed and drug-resistant clones were analysed b
NIAID Data Ecosystem10
CRISPResso: sequencing analysis toolbox for CRISPR genome editing. Homo sapiens
Cells nucleofected with either CRISPR/Cas9 alone or with CRISPR/Cas9 and a homologous donor template were subjected to targeted high-throughput sequencing of the beta-globin locus. Here, one sample wi
NIAID Data Ecosystem30
Colon contents of mice Raw sequence reads. Colon contents of mice
Bacterial microbial diversity in colonic contents of mice
NIAID Data Ecosystem10
