: The researchers demonstrated its accuracy using datasets from Fuscoporia , Sanghuangporus , and Aspergillus section Terrei , showing it can effectively identify mislabeled samples.
If you are looking for the academic paper associated with this software, it is titled , published in early 2025. Key Details from the Paper FnVIP.zip
: The paper outlines a nine-step execution process included in the pipeline: Input validation Dataset generation Sequence alignment Concatenation Model selection Tree inference Tree interpretation Report generation : The researchers demonstrated its accuracy using datasets
You can find the full text of this paper on platforms like ResearchGate or other academic repositories. and Aspergillus section Terrei
: FunVIP is designed to automate the identification and validation of fungal samples by comparing them against curated datasets using phylogenetic trees.