Data

Consensus approach to differential abundance analysis

The University of Queensland
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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/be825b7&rft.title=Consensus approach to differential abundance analysis&rft.identifier=RDM ID: 7fbd80e5-0d90-489b-9d52-b1c0fc132c0b&rft.publisher=The University of Queensland&rft.description=Dataset contains scripts and simulation files for benchmarking analysis of consensus approaches to differential abundance analysis. Simulated datasets were simulated from existing publicly available real gut and oral microbiome datasets using SimbaR and are in the form .h5. Filenames indicate parameters used for each simulation, with each file containing 20 repeats x 10 subsets / subset size (800 total for most files). Scripts are split into those used for simulation, analysis and figure generation.&rft.creator=Anonymous&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Clinical microbiology&rft_subject=Clinical sciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Contact Information

[email protected]
School of Chemistry and Molecular Biosciences

Full description

Dataset contains scripts and simulation files for benchmarking analysis of consensus approaches to differential abundance analysis. Simulated datasets were simulated from existing publicly available real gut and oral microbiome datasets using SimbaR and are in the form .h5. Filenames indicate parameters used for each simulation, with each file containing 20 repeats x 10 subsets / subset size (800 total for most files). Scripts are split into those used for simulation, analysis and figure generation.

Issued: 19 01 2026

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Subjects
Biomedical and Clinical Sciences | Clinical Microbiology | Clinical Sciences | eng |

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Identifiers
ACN 633 798 857