Published October 5, 2022 | Version v1
Dataset Open

Data and Files for Zito, Rigon and Dunson (2022): "Inferring taxonomic affiliation from DNA barcoding aiding in discovery of new taxa"

  • 1. Duke University

Contributors

Researcher:

Supervisor:

  • 1. University of Milano-Bicocca
  • 2. Duke University

Description

This folder contains the data and the R code to reproduce the figures and tables in the paper Zito, Rigon and Dunson (2022) - "Inferring Taxonomic placement from DNA barcoding aiding in discovery of new taxa", accepted as open access publication in Methods in Ecology and Evolution.

The file "main_FinBOL.R" reproduces the tables in the main document and in the Supporting information available online for the analysis of the FinBOL data, while "main_Simulation_Section4_SI.R" reproduces the simulation in Section 4 of the Supporting information. 

All data are saved in the folder "data". For replicability purposes, we added version 2.13 of the RDP classifier to the repository, in the folder "RDP/java". This has been downloaded from https://sourceforge.net/projects/rdp-classifier/. 

For questions, contact the author at alessandro.zito@duke.edu
 

Files

Data_and_scripts_BayesANT.zip

Files (231.4 MB)

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Additional details

Funding

LIFEPLAN – A Planetary Inventory of Life – a New Synthesis Built on Big Data Combined with Novel Statistical Methods 856506
European Commission