The Pfam protein families database: embracing AI/ML

Typhaine Paysan-Lafosse, Antonina Andreeva, Matthias Blum, Sara Rocio Chuguransky, Tiago Grego, Beatriz Lazaro Pinto, Gustavo Salazar, Maxwell L Bileschi, Felipe Llinares-López, Laetitia Meng-Papaxanthos, Lucy J Colwell, Nick V Grishin, R. Dustin Schaeffer, Damiano Clementel, Silvio C E Tosatto, Erik Sonnhammer, Valerie Wood and Alex Bateman

Madbot, a metadata and data brokering online tool to ensure the adoption of standards and FAIR principals in an open science context

Laurent Bouri, Imane Messak, Baptiste Rousseau, Anakim Gualdoni, Elora Vigo, Matéo Hiriart, Nadia Goué, Julien Seiler and Thomas Denecker

MethMotif 2024 Suite Reveals the Epigenetic Blueprint of Context-Specific Transcription Factor Binding Sites

Matthew Dyer, Quy Xiao Xuan Lin, Denis Thieffry and Touati Benoukraf

Ten years of the Pasteur’s Bioinformatics and Biostatistics Hub: achievements and perspectives

Hervé Ménager, Damien Mornico, Pascal Campagne, Elodie Chapeaublanc, Claudia Chica, Julien Guglielmini, Bertrand Néron, Natalia Pietrosemoli, Gaël Millot, Marie-Agnès Dillies and Laurent Essioux

Network-centric identification and analysis of a model of post-traumatic stress disorder with NORDic

Fabien Romano, Claire-Cécile Barrot, Clémence Réda and Andrée Delahaye-Duriez

A Comprehensive Study of Inverted Repeats in Prokaryotic Genomes: Enrichment, Depletion, and Taxonomic Variations

Victor Banon Garcia, Nelle Varoquaux and Ivan Junier

End-to-end Transformer-based architecture for disease prediction from metagenomic data

Gaspar Roy, Eugeni Belda, Yann Chevaleyre, Edi Prifti and Jean-Daniel Zucker

Evaluating deep learning models for plant protein function prediction

Minh Ngoc Vu, Hoàng Hà Nguyễn, Antoine Toffano and Pierre Larmande

Joint Embedding-Classifier Learning for Interpretable Collaborative Filtering

Clémence Réda, Jill-Jênn Vie and Olaf Wolkenhauer