V. Arnaud

Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine (SUNG) datasets in bioacoustics: the case of bonobo calls

The paper improves workflow for analyzing SUNG datasets in bioacoustics by applying machine learning to bonobo calls, identifying effective feature sets and classification methods.

A genomic amplification affecting a carboxylesterase gene cluster confers organophosphate resistance in the mosquito Aedes aegypti: from genomic characterization to high-throughput field detection

This study identifies a genomic amplification of carboxylesterase genes linked to organophosphate resistance in Aedes aegypti and develops a TaqMan assay to detect it in field populations.