TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data
Therefore, TaxaCal offers a cost-effective solution for generating high-resolution microbiome species profiles that closely align with WGS results, enhancing the utility of 16S-based profiling in microbiome research. As microbiome-based diagnostics continue to evolve, TaxaCal has the potential to be a crucial tool in advancing the utility of 16S sequencing in clinical and research settings.
Authors
- Xiaoquan Su (ORCID: https://orcid.org/0000-0003-2144-1991)
- Xiaoqian Fan
- Yangyang Sun
- Hao Gao (ORCID: https://orcid.org/0000-0001-6217-9366)
- Qingrong Shen
Institutions
- Qingdao University (CN)
- Weifang Chinese Medicine Hospital (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1186/s12859-025-06156-7
- Citations
- 3
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 5.51
Funders
- National Natural Science Foundation of China
- Taishan Scholar Project of Shandong Province
- Qingdao University
- Youth Innovation Team Project for Talent Introduction and Cultivation in Universities of Shandong Province
- National Key Research and Development Program of China