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To help biologists to identify putative Type IV Effectors (T4Es) from complete bacterial genomes, we developed S4TE 2.0, an online bioinformatics suite of tools. S4TE 2.0 predicts and ranks candidate T4Es by using a combination of 14 sequence characteristics, including homology to known effectors, homology to eukaryotic domains, presence of subcellular localization signals or secretion signals, etc. S4TE 2.0 generates a score and sorts the best T4Es candidates.
 S4TE-EM S4TE-CG
S4TE-CG allows the comparison of putative T4Es repertoires among up to four bacterial strains. The software identifies T4Es orthologs between compared strains and returns the Venn diagram and a list of genes for each intersection.
 S4TE-Doc
Everything you always wanted to know about S4TE 2.0.

S4TE-EM Select a Genome, choose your best settings and run the search for candidate effectors

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