: 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 from Fuscoporia , Sanghuangporus , and Aspergillus section Terrei , showing it can effectively identify mislabeled samples. FnVIP.zip
If you are looking for the academic paper associated with this software, it is titled , published in early 2025. Key Details from the Paper : The paper outlines a nine-step execution process
You can find the full text of this paper on platforms like ResearchGate or other academic repositories. : Running the pipeline typically requires at least
: Running the pipeline typically requires at least 8 GB of RAM, though this varies based on dataset size. Accessing the Research
: FunVIP is designed to automate the identification and validation of fungal samples by comparing them against curated datasets using phylogenetic trees.