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Taxamat: Automated biodiversity data management tool - Implications for microbiome studies.
A Vida1,2, B L Bodrogi3, B Balogh1
11Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Physiology International
|June 4, 2020
Summary
Taxamat is a new application for curating biodiversity data. It automates taxonomic classification, filtering, merging, and downsampling, simplifying data preparation for analysis.
Area of Science:
- Biodiversity Informatics
- Computational Biology
- Bioinformatics
Background:
- Working with biodiversity data, including sequencing and taxonomy, is computationally intensive.
- A gap exists in tools for curating biodiversity sample files before statistical analysis.
- Curation tasks include summarizing abundance, filtering taxa, merging, and downsampling data.
Purpose of the Study:
- To introduce Taxamat, a user-friendly application for automated biodiversity data curation.
- To streamline the process of preparing biodiversity data for import into statistical software.
Main Methods:
- Taxamat offers automated taxonomic classification.
- It includes functionalities for taxon filtering and exclusion.
- The application supports sample merging and data downsampling.
Main Results:
- Taxamat provides a solution for the critical data curation step in biodiversity analysis.
- Input and output files are designed for compatibility with widely used statistical programs.
- The application is available as a downloadable executable or installable package for Windows.
Conclusions:
- Taxamat simplifies the complex process of biodiversity data curation.
- It bridges the gap between raw data processing and statistical analysis.
- The tool enhances the accessibility and usability of biodiversity datasets for researchers.
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