| A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms N Scalzitti, A Jeannin-Girardon, P Collet, O Poch, JD Thompson BMC genomics 21, 1-20, 2020 | 72 | 2020 |
| Spliceator: multi-species splice site prediction using convolutional neural networks N Scalzitti, A Kress, R Orhand, T Weber, L Moulinier, A Jeannin-Girardon, ... BMC bioinformatics 22, 1-26, 2021 | 36 | 2021 |
| Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes C Meyer, N Scalzitti, A Jeannin-Girardon, P Collet, O Poch, JD Thompson BMC bioinformatics 21, 1-16, 2020 | 28 | 2020 |
| CeGAL: redefining a widespread fungal-specific transcription factor family using an in silico error-tracking approach C Mayer, A Vogt, T Uslu, N Scalzitti, K Chennen, O Poch, JD Thompson Journal of Fungi 9 (4), 424, 2023 | 2 | 2023 |
| Computational peptide discovery with a genetic programming approach N Scalzitti, I Miralavy, DE Korenchan, CT Farrar, AA Gilad, W Banzhaf Journal of Computer-Aided Molecular Design 38 (1), 17, 2024 | 1 | 2024 |
| CeGAL: revisiting a widespread fungal-specific TF family using an in silico error-aware approach to identify missing zinc cluster domains C Mayer, A Vogt, T Uslu, N Scalzitti, O Poch, JD Thompson bioRxiv, 2022.06. 15.496365, 2022 | | 2022 |
| Nouvelle stratégie d'annotation des génomes par l'utilisation d'algorithmes d'intelligence artificielle N Scalzitti Université de Strasbourg, 2021 | | 2021 |
| Computational peptide discovery with a genetic programming approach N Scalzitti, I Miralavy, DE Korenchan, CT Farrar, AA Gilad, W Banzhaf | | |
Olivier POCHCSTB ICube UMR7357Adresse e-mail validée de unistra.fr
