| Large multiple sequence alignments with a root-to-leaf regressive method E Garriga, P Di Tommaso, C Magis, I Erb, L Mansouri, A Baltzis, ... Nature biotechnology 37 (12), 1466-1470, 2019 | 40 | 2019 |
| Multiple sequence alignment computation using the t-coffee regressive algorithm implementation E Garriga, P Di Tommaso, C Magis, I Erb, L Mansouri, A Baltzis, E Floden, ... Multiple sequence alignment: Methods and protocols, 89-97, 2020 | 18 | 2020 |
| Towards the accurate alignment of over a million protein sequences: current state of the art L Santus, E Garriga, S Deorowicz, A Gudyś, C Notredame Current Opinion in Structural Biology 80, 102577, 2023 | 10 | 2023 |
| Fast and accurate large multiple sequence alignments using root-to-leave regressive computation E Garriga, PD Tommaso, C Magis, I Erb, H Laayouni, F Kondrashov, ... bioRxiv, 490235, 2018 | 2 | 2018 |
| Nextflow integration for the Research Object Specification. EG Nogales, P Di Tommaso, C Notredame RO, 2018 | 1 | 2018 |
| An nf-core framework for the systematic comparison of alternative modeling tools: the multiple sequence alignment case study L Santus, J Espinosa-Carrasco, L Rauschning, J Mir-Pedrol, I Trujnara, ... NAR genomics and bioinformatics 7 (3), lqaf104, 2025 | | 2025 |
| Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method E Garriga, P di Tommaso, C Magis, I Erb, L Mansouri, A Baltzis, ... | | 2018 |