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Tang, Lei (2020) Guide RNA resource for Drosophila. Nature Methods, 17 (4) 364 doi:10.1038/s41592-020-0813-0

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Reference TypeJournal (article/letter/editorial)
TitleGuide RNA resource for Drosophila
JournalNature Methods
AuthorsTang, LeiAuthor
Year2020 (April)Volume17
Issue4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41592-020-0813-0Search in ResearchGate
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Mindat Ref. ID13636902Long-form Identifiermindat:1:5:13636902:0
GUID0
Full ReferenceTang, Lei (2020) Guide RNA resource for Drosophila. Nature Methods, 17 (4) 364 doi:10.1038/s41592-020-0813-0
Plain TextTang, Lei (2020) Guide RNA resource for Drosophila. Nature Methods, 17 (4) 364 doi:10.1038/s41592-020-0813-0
In(2020, April) Nature Methods Vol. 17 (4) Springer Science and Business Media LLC

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Tang, Lei (2020) Pinpointing RNA mutations. Nature Methods, 17 (4) 365 doi:10.1038/s41592-020-0805-0
Tang, Lei (2020) Guiding Cas13 for RNA knockdown. Nature Methods, 17 (5) 461 doi:10.1038/s41592-020-0841-9
Tang, Lei (2020) Stamping RNA age. Nature Methods, 17 (12) 1177 doi:10.1038/s41592-020-01016-z
Tang, Lei (2020) Improving single-cell RNA counting. Nature Methods, 17 (7) 656 doi:10.1038/s41592-020-0901-1
Tang, Lei (2020) Microbial factory for crRNAs. Nature Methods, 17 (4) 363 doi:10.1038/s41592-020-0810-3
Tang, Lin (2020) Mapping RNA–RNA interactions. Nature Methods, 17 (8) 760 doi:10.1038/s41592-020-0922-9
Tang, Lei (2020) High-throughput screening with transcriptomics. Nature Methods, 17 (3). 251 doi:10.1038/s41592-020-0785-0
Tang, Lei (2020) Sequencing BCR–antigen interactions. Nature Methods, 17 (2). 129 doi:10.1038/s41592-020-0749-4
Tang, Lei (2020) Oceans of genomes. Nature Methods, 17 (2). 130 doi:10.1038/s41592-020-0754-7
Tang, Lei (2020) Printing in vivo. Nature Methods, 17 (8) 758 doi:10.1038/s41592-020-0920-y
Tang, Lei (2020) Radial genome organization. Nature Methods, 17 (7) 652 doi:10.1038/s41592-020-0893-x
 
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To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
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