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| bacteria:t3e:software [2026/05/05 14:25] – [References] rkoebnik | bacteria:t3e:software [2026/06/26 10:03] (current) – [Further Reading] rkoebnik | ||
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| ===== Further Reading ===== | ===== Further Reading ===== | ||
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| + | Chan DTC, Agarwal V, Baltrus DA, Dillon MM (2025). Unified classification of the type III secreted effectors of bacterial plant pathogens to advance phytopathology research. Phytopathology 115: 1315-1328. DOI: [[https:// | ||
| Hui X, Chen Z, Zhang J, Lu M, Cai X, Deng Y, Hu Y, Wang Y (2021). Computational prediction of secreted proteins in gram-negative bacteria. Comput. Struct. Biotechnol. J. 19: 1806-1828. DOI: [[https:// | Hui X, Chen Z, Zhang J, Lu M, Cai X, Deng Y, Hu Y, Wang Y (2021). Computational prediction of secreted proteins in gram-negative bacteria. Comput. Struct. Biotechnol. J. 19: 1806-1828. DOI: [[https:// | ||
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| Noël LD, Denancé N, Szurek B (2013). Predicting promoters targeted by TAL effectors in plant genomes: from dream to reality. Front. Plant Sci. 4: 333. DOI: [[https:// | Noël LD, Denancé N, Szurek B (2013). Predicting promoters targeted by TAL effectors in plant genomes: from dream to reality. Front. Plant Sci. 4: 333. DOI: [[https:// | ||
| + | Wei L, He S, Fan Z (2026). Machine learning for the prediction of gram-negative bacterial secreted effectors: advances and challenges. Front. Chem. 14: 1810136. DOI: [[https:// | ||