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Deelogeny project overview

This is the website associated to the DEELOGENY project.

DEELOGENY is a project financed by the ANR to investigate whether deep learning can help inference in phylogenomics.

It gathers groups from several labs in Paris and Lyon.

The project is organized in four work packages that target different problems in phylogenomics, as displayed below.

Generally, the unifying idea is to use machine learning, and deep neural networks in particular, to investigate their ability to address important and difficult problems in phylogenomics. In all cases, these problems involve inference challenges that are typically addressed in several separate steps, but that we propose to tackle in one single step.

Structure of the ANR DEELOGENY. 4 Work Packages target different problems in phylogenomics. An additional Work Package, WP0, related to coordination.