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dc.contributor.author
Hryhorzhevska, Anastasiia
dc.contributor.author
Wiewiórka, Marek S.
dc.contributor.author
Okoniewski, Michał J.
dc.contributor.author
Gambin, Tomasz
dc.contributor.editor
Kryszkiewicz, Marzena
dc.contributor.editor
Appice, Annalisa
dc.contributor.editor
Ślęzak, Dominik
dc.contributor.editor
Rybinski, Henryk
dc.contributor.editor
Skowron, Andrzej
dc.contributor.editor
Raś, Zbigniew W.
dc.date.accessioned
2018-06-22T11:35:03Z
dc.date.available
2018-06-21T03:38:40Z
dc.date.available
2018-06-22T11:35:03Z
dc.date.issued
2017
dc.identifier.isbn
978-3-319-60438-1
en_US
dc.identifier.isbn
978-3-319-60437-4
en_US
dc.identifier.other
10.1007/978-3-319-60438-1_46
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/271148
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.title
Scalable Framework for the Analysis of Population Structure Using the Next Generation Sequencing Data
en_US
dc.type
Conference Paper
dc.date.published
2017-06-14
ethz.book.title
Proceedings of the 2017 International Symposium on Methodologies for Intelligent Systems (ISMIS)
en_US
ethz.journal.volume
10352
en_US
ethz.pages.start
471
en_US
ethz.pages.end
480
en_US
ethz.event
23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017)
en_US
ethz.event.location
Warsaw, Poland
en_US
ethz.event.date
June 26-29, 2017
en_US
ethz.identifier.wos
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-06-21T03:39:21Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-06-22T11:35:09Z
ethz.rosetta.lastUpdated
2018-06-22T11:35:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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