Published February 27, 2026 | Version v1.0.0

Advancing the metabarcoding assay validation framework - AI implementation

  • 1. Biomathematics and Statistics Scotland

Contributors

  • 1. University of Oxford Department of Zoology

Description

This repository provides an automated pipeline for extracting metabarcoding assay validation criteria from scientific literature using AI. It wraps the [MetaBeeAI](https://github.com/MetaBeeAI/MetaBeeAI/tree/main/src/metabeeai) pipeline with preprocessing tools and guidance for preparing PDFs for automated information extraction via the ChatGPT API. For any implementation queries, please contact Lucio Marcello (lucio.marcello@bioss.ac.uk)

The repository accompanies the Natural England Commissioned Report "Advancing the metabarcoding assay validation framework", authored by Eulyn Pagaling, Lucio Marcello, Lorena I. Rangel, Rachael Murray, Bernd Hanfling, Thomas C. Parker and Clara Benevant-Celma, which can be downloaded from the [Natural England Access to Evidence Catalogue](http://publications.naturalengland.org.uk/). For information on Natural England publications or if you require an alternative format, please contact the Natural England Enquiry Service on 0300 060 3900 or email enquiries@naturalengland.org.uk.

Files

advancing-the-metabarcoding-assay-validation-framework-v1.0.0.zip

Files (101.1 MB)

Additional details

Funding

Natural England
Advancing the metabarcoding assay validation framework