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bacteria:t3e:software [2022/10/27 15:23] rkoebnik [References] |
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^Name ^Purpose ^URL ^Reference | | ^Name ^Purpose ^URL ^Reference | | ||
|Effectidor |T3E prediction |[[https:// | |Effectidor |T3E prediction |[[https:// | ||
+ | |DeepT3 2.0 |T3E prediction |[[http:// | ||
|DeepT3_4 |T3E prediction |[[https:// | |DeepT3_4 |T3E prediction |[[https:// | ||
|T3SEpp |T3E prediction |[[http:// | |T3SEpp |T3E prediction |[[http:// | ||
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|EffectiveT3 |T3E prediction |[[http:// | |EffectiveT3 |T3E prediction |[[http:// | ||
|SIEVE |T3E prediction |www.sysbep.org/ | |SIEVE |T3E prediction |www.sysbep.org/ | ||
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===== References ===== | ===== References ===== | ||
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Hui X, Chen Z, Lin M, Zhang J, Hu Y, Zeng Y, Cheng X, Ou-Yang L, Sun MA, White AP, Wang Y (2020). T3SEpp: an integrated prediction pipeline for bacterial type III secreted effectors. mSystems 5: e00288-20. DOI: [[https:// | Hui X, Chen Z, Lin M, Zhang J, Hu Y, Zeng Y, Cheng X, Ou-Yang L, Sun MA, White AP, Wang Y (2020). T3SEpp: an integrated prediction pipeline for bacterial type III secreted effectors. mSystems 5: e00288-20. DOI: [[https:// | ||
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+ | Jing R, Wen T, Liao C, Xue L, Liu F, Yu L, Luo J (2021). DeepT3 2.0: improving type III secreted effector predictions by an integrative deep learning framework. NAR Genom. Bioinform. 3: lqab086. DOI[[https:// | ||
Kampenusa I, Zikmanis P (2010). Distinguishable codon usage and amino acid composition patterns among substrates of leaderless secretory pathways from proteobacteria. Appl. Microbiol. Biotechnol. 86: 285-293. DOI: [[https:// | Kampenusa I, Zikmanis P (2010). Distinguishable codon usage and amino acid composition patterns among substrates of leaderless secretory pathways from proteobacteria. Appl. Microbiol. Biotechnol. 86: 285-293. DOI: [[https:// |