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Data associated with "Gravitropic gene expression divergence associated with adaptation to contrasting environments in an Australian wildflower"

The University of Queensland
Professor Daniel Ortiz-Barrientos (Aggregated by) Professor Daniel Ortiz-Barrientos (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/eaea206&rft.title=Data associated with Gravitropic gene expression divergence associated with adaptation to contrasting environments in an Australian wildflower&rft.identifier=RDM ID: 86497b4f-5f85-4256-bca4-b13e23192f44&rft.publisher=The University of Queensland&rft.description=The data associated with this paper includes RNA sequencing data from multiple stages of analysis to identify gene expression divergence in gravitropic and agravitropic plants of Senecio lautus. RNA-seq data was collected over five time points and for control and treatment individuals. The code used to analyse this data can be found at https://github.com/ZoeBr/Broad-et-al.-2023. Differentially expressed genes and the datasets that were used for Weighted Gene Co-Expression network analysis can be found here.&rft.creator=Professor Daniel Ortiz-Barrientos&rft.creator=Professor Daniel Ortiz-Barrientos&rft.date=2024&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Genomics and transcriptomics&rft_subject=Bioinformatics and computational biology&rft_subject=Evolutionary biology&rft_subject=Evolution of developmental systems&rft.type=dataset&rft.language=English Access the data
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School of the Environment

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The data associated with this paper includes RNA sequencing data from multiple stages of analysis to identify gene expression divergence in gravitropic and agravitropic plants of Senecio lautus. RNA-seq data was collected over five time points and for control and treatment individuals. The code used to analyse this data can be found at https://github.com/ZoeBr/Broad-et-al.-2023. Differentially expressed genes and the datasets that were used for Weighted Gene Co-Expression network analysis can be found here.

Issued: 28 10 2024

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Subjects
Biological Sciences | Bioinformatics and Computational Biology | Evolution of Developmental Systems | Evolutionary Biology | Genomics and Transcriptomics | eng |

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