Challenges in capturing the mycobiome from shotgun metagenome data: lack of software and databases
Our survey of mycobiome-specific software revealed a very limited selection of such tools and their poor robustness due to error-prone software, along with a significant lack of comprehensive databases enabling characterization of the mycobiome. None of the implemented tools fully agreed on the mock community profiles. FunOMIC recognized most of the species, but EukDetect and MiCoP provided predictions that were closest to the correct compositions. The bacterial background did not impact these tools' performance. Video Abstract.
Authors
- Hanne C. Winther‐Larsen (ORCID: https://orcid.org/0000-0002-0373-6182)
- Trine B. Rounge (ORCID: https://orcid.org/0000-0003-2677-2722)
- Ekaterina Avershina (ORCID: https://orcid.org/0000-0001-9935-2804)
- A. Qureshi
Institutions
- Oslo University Hospital (NO)
- Norwegian Institute of Public Health (NO)
- University of Oslo (NO)
- Cancer Registry of Norway (NO)
Publication Details
- Journal
- Microbiome
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s40168-025-02048-3
- Citations
- 18
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 14.51
Funders
- Helse Sør-Øst RHF