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Poirion, Olivier, Zhu, Xun, Ching, Travers, Garmire, Lana X. (2018) Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Nature Communications, 9. doi:10.1038/s41467-018-07170-5

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Reference TypeJournal (article/letter/editorial)
TitleUsing single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
JournalNature Communications
AuthorsPoirion, OlivierAuthor
Zhu, XunAuthor
Ching, TraversAuthor
Garmire, Lana X.Author
Year2018 (December)Volume9
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41467-018-07170-5Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID6093211Long-form Identifiermindat:1:5:6093211:4
GUID0
Full ReferencePoirion, Olivier, Zhu, Xun, Ching, Travers, Garmire, Lana X. (2018) Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Nature Communications, 9. doi:10.1038/s41467-018-07170-5
Plain TextPoirion, Olivier, Zhu, Xun, Ching, Travers, Garmire, Lana X. (2018) Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Nature Communications, 9. doi:10.1038/s41467-018-07170-5
In(2018) Nature Communications Vol. 9. Springer Science and Business Media LLC

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Zhu, Xun, Ching, Travers, Pan, Xinghua, Weissman, Sherman M., Garmire, Lana (2017) Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization. PeerJ, 5. doi:10.7717/peerj.2888
Li, Wei Vivian, Li, Jingyi Jessica (2018) An accurate and robust imputation method scImpute for single-cell RNA-seq data. Nature Communications, 9. doi:10.1038/s41467-018-03405-7
Griffiths, Jonathan A., Richard, Arianne C., Bach, Karsten, Lun, Aaron T. L., Marioni, John C. (2018) Detection and removal of barcode swapping in single-cell RNA-seq data. Nature Communications, 9. doi:10.1038/s41467-018-05083-x
Qiu, Peng (2020) Embracing the dropouts in single-cell RNA-seq analysis. Nature Communications, 11. doi:10.1038/s41467-020-14976-9
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