Data

SNP datasets used in the paper “Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns”

The University of Queensland
Dr Patrick Fahey (Aggregated by) Dr Patrick Fahey (Aggregated by) Honorary Professor Maurizio Rossetto (Aggregated by) Mr Richard Dimon (Aggregated by) Mr Richard Dimon (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/5c76de2&rft.title=SNP datasets used in the paper “Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns”&rft.identifier=RDM ID: 7dc1d180-42d7-11ee-86d2-97cd69273a70&rft.publisher=The University of Queensland&rft.description=The SNP dataset for each species investigated in this study is present. These datasets are saved as R data objects in list formats with meta-data for samples and post filtering DArTseq SNPs. Sample filtering included removing samples which we suspected to be mis-identified taxa, hybrids and those with >50% missing data, after which any samples from populations with less than 5 suitable samples remaining were also removed. SNP filtering included removing loci with reproducibility values below 0.96, missingness of >20%, followed by subsampling to one SNP per locus to remove any linkage effects. Datasets can be read into R, where they are formatted as list objects.&rft.creator=Dr Patrick Fahey&rft.creator=Dr Patrick Fahey&rft.creator=Honorary Professor Maurizio Rossetto&rft.creator=Mr Richard Dimon&rft.creator=Mr Richard Dimon&rft.date=2023&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Computational ecology and phylogenetics&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Contact Information

patrick.fahey@uq.edu.au
Queensland Alliance for Agriculture and Food Innovation

Full description

The SNP dataset for each species investigated in this study is present. These datasets are saved as R data objects in list formats with meta-data for samples and post filtering DArTseq SNPs. Sample filtering included removing samples which we suspected to be mis-identified taxa, hybrids and those with >50% missing data, after which any samples from populations with less than 5 suitable samples remaining were also removed. SNP filtering included removing loci with reproducibility values below 0.96, missingness of >20%, followed by subsampling to one SNP per locus to remove any linkage effects. Datasets can be read into R, where they are formatted as list objects.

Issued: 28 08 2023

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Grants and Projects

Related Websites

Subjects
Biological Sciences | Bioinformatics and Computational Biology | Computational Ecology and Phylogenetics | eng |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns

local : UQ:67c4f01

Fahey, Patrick S., Dimon, Richard J., van der Merwe, Marlien M., Bragg, Jason G. and Rossetto, Maurizio (2024). Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns. Nature Communications, 15 (1) 10770, 10770-1. doi: 10.1038/s41467-024-54930-7

Research Data Collections

local : UQ:289097

Identifiers