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Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier.

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Title: Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier.
Authors: Magaryan, Kristina1,2, Nikogհosyan, Maria3,4, Baloyan, Anush3, Gasoyan, Hripsime3, Hovhannisyan, Emma3, Galstyan, Levon3, Konecny, Tomas3, Arakelyan, Arsen4, Binder, Hans3,5
Source: BIO Web of Conferences; 9/19/2023, Vol. 68, p1-7, 7p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174040768
AccessLevel: 2
PubType: Conference
PubTypeId: conference
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  Data: Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174040768
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      – Type: doi
        Value: 10.1051/bioconf/20236801009
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 1
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      – TitleFull: Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier.
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            NameFull: Nikogհosyan, Maria
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              M: 09
              Text: 9/19/2023
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              Y: 2023
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              Value: 68
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