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dc.contributor.authorZappia, L
dc.contributor.authorPhipson, B
dc.contributor.authorOshlack, A
dc.date.accessioned2020-12-21T03:12:55Z
dc.date.available2020-12-21T03:12:55Z
dc.date.issued2017-09-12
dc.identifierpii: 10.1186/s13059-017-1305-0
dc.identifier.citationZappia, L., Phipson, B. & Oshlack, A. (2017). Splatter: simulation of single-cell RNA sequencing data. GENOME BIOLOGY, 18 (1), https://doi.org/10.1186/s13059-017-1305-0.
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/11343/257114
dc.description.abstractAs single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed, so have analysis methods. Many methods have been tested, developed, and validated using simulated datasets. Unfortunately, current simulations are often poorly documented, their similarity to real data is not demonstrated, or reproducible code is not available. Here, we present the Splatter Bioconductor package for simple, reproducible, and well-documented simulation of scRNA-seq data. Splatter provides an interface to multiple simulation methods including Splat, our own simulation, based on a gamma-Poisson distribution. Splat can simulate single populations of cells, populations with multiple cell types, or differentiation paths.
dc.languageEnglish
dc.publisherBIOMED CENTRAL LTD
dc.titleSplatter: simulation of single-cell RNA sequencing data
dc.typeJournal Article
dc.identifier.doi10.1186/s13059-017-1305-0
melbourne.affiliation.departmentSchool of Physics
melbourne.affiliation.departmentPaediatrics (RCH)
melbourne.source.titleGenome Biology
melbourne.source.volume18
melbourne.source.issue1
melbourne.identifier.nhmrc1126157
dc.rights.licenseCC BY
melbourne.elementsid1240103
melbourne.contributor.authorOshlack, Alicia
melbourne.contributor.authorPhipson, Belinda
melbourne.contributor.authorZappia, Luke
dc.identifier.eissn1474-760X
melbourne.identifier.fundernameidNHMRC, 1126157
melbourne.accessrightsOpen Access


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