| Uniclust databases of clustered and deeply annotated protein sequences and alignments M Mirdita, L Von Den Driesch, C Galiez, MJ Martin, J Söding, ... Nucleic acids research 45 (D1), D170-D176, 2017 | 669 | 2017 |
| WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs C Galiez, M Siebert, F Enault, J Vincent, J Söding Bioinformatics 33 (19), 3113-3114, 2017 | 261 | 2017 |
| PHROG: families of prokaryotic virus proteins clustered using remote homology P Terzian, E Olo Ndela, C Galiez, J Lossouarn, RE Pérez Bucio, R Mom, ... NAR Genomics and Bioinformatics 3 (3), lqab067, 2021 | 242 | 2021 |
| Deep learning applied to glacier evolution modelling J Bolibar, A Rabatel, I Gouttevin, C Galiez, T Condom, E Sauquet The Cryosphere 14 (2), 565-584, 2020 | 77 | 2020 |
| SpacePHARER: sensitive identification of phages from CRISPR spacers in prokaryotic hosts R Zhang, M Mirdita, E Levy Karin, C Norroy, C Galiez, J Söding Bioinformatics 37 (19), 3364-3366, 2021 | 76 | 2021 |
| Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning J Bolibar, A Rabatel, I Gouttevin, H Zekollari, C Galiez Nature communications 13 (1), 409, 2022 | 71 | 2022 |
| Going to extremes–a metagenomic journey into the dark matter of life A Aevarsson, AK Kaczorowska, BT Adalsteinsson, J Ahlqvist, ... FEMS microbiology letters 368 (12), fnab067, 2021 | 28 | 2021 |
| VIRALpro: a tool to identify viral capsid and tail sequences C Galiez, CN Magnan, F Coste, P Baldi Bioinformatics 32 (9), 1405-1407, 2016 | 23 | 2016 |
| A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015 J Bolibar, A Rabatel, I Gouttevin, C Galiez Earth System Science Data 12 (3), 1973-1983, 2020 | 16 | 2020 |
| Emulating the adaptation of wind fields to complex terrain with deep learning L Le Toumelin, I Gouttevin, N Helbig, C Galiez, M Roux, F Karbou Artificial Intelligence for the Earth Systems 2 (1), e220034, 2023 | 15 | 2023 |
| NLP-MeTaxa: a natural language processing approach for metagenomic taxonomic binning based on deep learning B Matougui, A Boukelia, H Belhadef, C Galiez, M Batouche Current Bioinformatics 16 (7), 992-1003, 2021 | 7 | 2021 |
| A two-fold deep-learning strategy to correct and downscale winds over mountains L Le Toumelin, I Gouttevin, C Galiez, N Helbig Nonlinear Processes in Geophysics 31 (1), 75-97, 2024 | 6 | 2024 |
| Generalization of iterative sampling in autoencoders M Solinas, C Galiez, R Cohendet, S Rousset, M Reyboz, M Mermillod 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 6 | 2020 |
| Amplitude spectrum distance: measuring the global shape divergence of protein fragments C Galiez, F Coste BMC bioinformatics 16, 1-16, 2015 | 6 | 2015 |
| Predict first–assemble later versus assemble first–predict later: Revisiting the dilemma for functional biogeography G Deschamps, G Poggiato, P Brun, C Galiez, W Thuiller Methods in Ecology and Evolution 14 (10), 2680-2696, 2023 | 4 | 2023 |
| Glacier evolution modelling with deep learning: challenges and opportunities J Bolibar, A Rabatel, I Gouttevin, C Galiez, T Condom, E Sauquet EGU General Assembly Conference Abstracts, 9723, 2020 | 1 | 2020 |
| ECCB 2018: The 17th European Conference on Computational Biology ECCB 2018 Steering Committee, AG Hatzigeorgiou, P Bagos, PV Benos, ... Bioinformatics 34 (17), i595-i598, 2018 | 1 | 2018 |
| Structural conservation of remote homologues: better and further in contact fragments C Galiez, F Coste 3DSIG: Structural Bioinformatics and Computational Biophysics, 2015 | 1 | 2015 |
| Empathi: Embedding-based Phage Protein Annotation Tool by Hierarchical Assignment A Boulay, A Leprince, F Enault, E Rousseau, C Galiez bioRxiv, 2024.12. 31.630607, 2025 | | 2025 |
| Exploring climate, soil, and land-use effects on plant distribution-a large-scale study in Europe G Deschamps, S Si-Moussi, C Galiez, W Thuiller SFE2-Internation congress in ecology and evolution, 2024 | | 2024 |
