PEWO
PEWO benchmarks and evaluates phylogenetic placement (PP) tools to compare accuracy, computational cost, parameter effects, and genetic marker suitability for species identification.
Key Features:
- Benchmarking Capability: Provides workflows to assess and compare different phylogenetic placement tools using performance metrics such as accuracy under varying conditions.
- Parameter Optimization: Enables fine-tuning of parameters for individual PP software to determine parameter settings that improve placement performance on specific datasets.
- Genetic Marker Selection: Assists in identifying suitable genetic markers for species identification tasks based on phylogenetic placement outcomes.
- Computational Cost Analysis: Evaluates computational resources required by PP tools to quantify efficiency alongside accuracy.
Scientific Applications:
- Taxonomic identification: Supports accurate species identification through evaluation of phylogenetic placement methods and marker choice.
- Evolutionary biology: Informs selection of PP tools and parameters for studies of evolutionary relationships using reference trees.
- Biodiversity assessment: Enables comparison of placement approaches to improve detection and characterization of biodiversity from marker data.
- Ecological monitoring: Guides choice of PP workflows and markers for monitoring community composition and taxonomic changes.
Methodology:
Automated workflows perform systematic evaluations of PP software across multiple dimensions, including testing under different reference trees and conditions, measuring accuracy and computational resource usage.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python, R
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Linard B, Romashchenko N, Pardi F, Rivals E. PEWO: a collection of workflows to benchmark phylogenetic placement. Bioinformatics. 2020;36(21):5264-5266. doi:10.1093/bioinformatics/btaa657. PMID:32697844.