Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
2018 | preprint. A publication with affiliation to the University of Göttingen.
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Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
Wemheuer, F. ; Taylor, J. A.; Daniel, R. ; Johnston, E.; Meinicke, P. ; Thomas, T.& Wemheuer, B. (2018). DOI: https://doi.org/10.1101/490037
Documents & Media
Details
- Authors
- Wemheuer, Franziska ; Taylor, Jessica A.; Daniel, Rolf ; Johnston, Emma; Meinicke, Peter ; Thomas, Torsten; Wemheuer, Bernd
- Abstract
- Assessing the functional capability and redundancy of a microbial community is a major challenge in environmental microbiology. To address this challenge, we developed Tax4Fun2, a R-based tool for the rapid prediction of functional profiles and functional redundancy of prokaryotic communities from 16S rRNA gene sequences. By incorporating user-defined, habitat-specific genomic information, the accuracy and robustness of predicted functional profiles can be substantially enhanced.
- Issue Date
- 2018
- Extent
- 21
- Language
- English
