A Bioinformatic Guide to Identify Protein Effectors from Phytopathogens
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-3159-1_8
Reference44 articles.
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3. Wang C, Wang P, Han S et al (2020) FunEffector-Pred: identification of fungi effector by activate learning and genetic algorithm sampling of imbalanced data. IEEE. Access 8(Ml):57674–57683
4. Lu S, Edwards MC (2016) Genome-wide analysis of small secreted cysteine-rich proteins identifies candidant effector proteins potentially involved in Fusarium graminearum-wheat interactions. Gen and Res. https://doi.org/10.1094/PHYTO-09-15-0215-R
5. Alouane T, Rimbert H, Bormann J et al (2021) Comparative genomics of eight Fusarium graminearum strains with contrasting aggressiveness reveals an expanded open pangenome and extended effector content signatures. Int J Mol Sci 22:6257
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1. Fungtion: A Server for Predicting and Visualizing Fungal Effector Proteins;Journal of Molecular Biology;2024-09
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