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.

PMID: 32697844
Funding: - France Génomique: ANR-10-INBS-0009