Effectidor II: a pan-genomic AI-based algorithm for the prediction of type III secretion system effectors
Effectidor II is available at: https://effectidor.tau.ac.il and the source code is available at: https://github.com/naamawagner/Effectidor. A stand-alone version of Effectidor II is available at: https://github.com/naamawagner/Effectidor/tree/StandAlone. The source code for the standalone version and the data used in this work are also provided in https://doi.org/10.5281/zenodo.15081636.
Authors
- Neha Potnis (ORCID: https://orcid.org/0000-0002-5418-5894)
- Jeff H. Chang (ORCID: https://orcid.org/0000-0002-1833-0695)
- Doron Teper (ORCID: https://orcid.org/0000-0002-5608-1917)
- Tal Pupko (ORCID: https://orcid.org/0000-0001-9463-2575)
- Naama Wagner (ORCID: https://orcid.org/0000-0001-7759-3009)
- Ralf Koebnik (ORCID: https://orcid.org/0000-0002-4419-0542)
- Leonor Martins (ORCID: https://orcid.org/0000-0001-5400-2923)
- Noam Bracha
- Iris Lyubman
- Ella Baumer
- Yair Shimony
Institutions
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
- Oregon State University (US)
- Tel Aviv University (IL)
- Universidade do Porto (PT)
- Université de Montpellier (FR)
- Agricultural Research Organization (IL)
- Institut Agro Montpelier (FR)
- Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR)
- Institut de Recherche pour le Développement (FR)
- Centro de Investigação em Biodiversidade e Recursos Genéticos (PT)
- Auburn University (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1093/bioinformatics/btaf272
- Citations
- 5
- Primary Topic
- Plant Pathogenic Bacteria Studies
- Type
- article
- Field-Weighted Citation Impact
- 8.75
Funders
- U.S. Department of Agriculture
- Tel Aviv University