CoalNN

CoalNN is a likelihood-free method, based on convolutional neural networks, for the estimation of TMRCAs and allele ages in sequencing, array, and imputed genomic data.

Links

• Source and manual (GitHub)
• Allele age estimates
• Other data (e.g., pre-trained weights)

Paper

Inference of genealogical relatedness and variant ages using convolutional neural networks. J. Nait Saada, Z. Tsangalidou, M. Stricker, P. F. Palamara. Molecular Biology and Evolution. September 2023. [paper]