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dc.contributor.author
Parra, R. Gonzalo
dc.contributor.author
Papadopoulos, Nikolaos
dc.contributor.author
Ahumada-Arranz, Laura
dc.contributor.author
El Kholtei, Jakob
dc.contributor.author
Mottelson, Noah
dc.contributor.author
Horokhovsky, Yehor
dc.contributor.author
Treutlein, Barbara
dc.contributor.author
Soeding, Johannes
dc.date.accessioned
2019-09-30T06:55:03Z
dc.date.available
2019-09-29T02:39:01Z
dc.date.available
2019-09-30T06:55:03Z
dc.date.issued
2019-09-26
dc.identifier.issn
1362-4962
dc.identifier.issn
0301-5610
dc.identifier.other
10.1093/nar/gkz706
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/367087
dc.identifier.doi
10.3929/ethz-b-000367087
dc.description.abstract
Advances in single-cell transcriptomics techniques are revolutionizing studies of cellular differentiation and heterogeneity. It has become possible to track the trajectory of thousands of genes across the cellular lineage trees that represent the temporal emergence of cell types during dynamic processes. However, reconstruction of cellular lineage trees with more than a few cell fates has proved challenging. We present MERLoT (https://github.com/soedinglab/merlot), a flexible and user-friendly tool to reconstruct complex lineage trees from single-cell transcriptomics data. It can impute temporal gene expression profiles along the reconstructed tree. We show MERLoT’s capabilities on various real cases and hundreds of simulated datasets.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Reconstructing complex lineage trees from scRNA-seq data using MERLoT
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Nucleic Acids Research
ethz.journal.volume
47
en_US
ethz.journal.issue
17
en_US
ethz.journal.abbreviated
Nucleic Acids Res.
ethz.pages.start
8961
en_US
ethz.pages.end
8974
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09485 - Treutlein, Barbara / Treutlein, Barbara
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09485 - Treutlein, Barbara / Treutlein, Barbara
ethz.date.deposited
2019-09-29T02:39:20Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-09-30T06:55:23Z
ethz.rosetta.lastUpdated
2021-02-15T06:03:39Z
ethz.rosetta.versionExported
true
ethz.COinS
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