Data

Scripts and analyses from: Cryptic diversity and spatial genetic variation in the coral Acropora tenuis and its endosymbionts across the Great Barrier Reef, 2023, Evolutionary Applications

The University of Queensland
Dr Ambrocio Matias (Aggregated by) Dr Ambrocio Matias (Aggregated by) Dr Iva Popovic (Aggregated by) Dr Iva Popovic (Aggregated by) Professor Cynthia Riginos (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/0765ed7&rft.title=Scripts and analyses from: Cryptic diversity and spatial genetic variation in the coral Acropora tenuis and its endosymbionts across the Great Barrier Reef, 2023, Evolutionary Applications&rft.identifier=RDM ID: ca23f200-f832-11ed-b91f-4b26e31cbe33&rft.publisher=The University of Queensland&rft.description=Raw data Can be found on NCBI's Sequence Read Archive (SRA), submission SUB11600324 Geographic metadata Can be found on [GEOME](http://n2t.net/ark:/21547/EFV2) - expedition ID: Acropora_GBR_data_Matias_Popovic_etal_2022_EA - Expedition Code: Acropora_GBR_data_Matias_Popovic_etal_2022_EA - Identifier: http://n2t.net/ark:/21547/EFV2 Collections of scripts and associated files are provided that support the major analyses. Within each zipped collection are individual README files. - ANGSD_Analyses.zip - Host_phylogeny.zip - UCE_phylogeny.zip - Symbiont_Analyses.zip&rft.creator=Dr Ambrocio Matias&rft.creator=Dr Ambrocio Matias&rft.creator=Dr Iva Popovic&rft.creator=Dr Iva Popovic&rft.creator=Professor Cynthia Riginos&rft.creator=Professor Cynthia Riginos&rft.date=2023&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Evolutionary ecology&rft_subject=Evolutionary biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Contact Information

[email protected]
School of Biological Sciences

Full description

Raw data Can be found on NCBI's Sequence Read Archive (SRA), submission SUB11600324 Geographic metadata Can be found on [GEOME](http://n2t.net/ark:/21547/EFV2) - expedition ID: Acropora_GBR_data_Matias_Popovic_etal_2022_EA - Expedition Code: Acropora_GBR_data_Matias_Popovic_etal_2022_EA - Identifier: http://n2t.net/ark:/21547/EFV2 Collections of scripts and associated files are provided that support the major analyses. Within each zipped collection are individual README files. - ANGSD_Analyses.zip - Host_phylogeny.zip - UCE_phylogeny.zip - Symbiont_Analyses.zip

Issued: 2023

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