Data provided by National Institute of Standards and Technology
This repository provides the raw data and analysis code used to demonstrate the implementation of a mathematical framework that uses internal standards to correct for compositionally in MGS datasets. Some of the data contained herein was previously published and is reanalyzed in the context of this new framework, while other datasets represent newly analyzed samples. Please refer to the associated publication for further discussion and a full exploration of the results.
About this Dataset
Updated: 2025-09-09
Metadata Last Updated:
2025-03-13 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | A mathematical framework to correct for compositionality in microbiome datasets |
|---|---|
| Description | This repository provides the raw data and analysis code used to demonstrate the implementation of a mathematical framework that uses internal standards to correct for compositionally in MGS datasets. Some of the data contained herein was previously published and is reanalyzed in the context of this new framework, while other datasets represent newly analyzed samples. Please refer to the associated publication for further discussion and a full exploration of the results. |
| Modified | 2025-03-13 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | Compositionality , scaled abundance , internal standard , experimental design , metagenomic sequencing |
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"title": "A mathematical framework to correct for compositionality in microbiome datasets",
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