PhenotypeSeeker Web Tool enables to use pre-trained models to predict phenotypes from bacterial genome data.Models are trained on datasets dervied from the PATRICBRC database.
The example genome files can be downloaded from the links below:
Enterococcus faecalis fasta (3.6 MB)
Pseudomonas aeruginosa fasta.gz (3.6 MB)
Tarball of two genomes tar.gz (3.8 MB)
Confidentiality:The sequences are kept confidential and will be deleted after two hours from the submission.
The results are available for one week at the URL given at the submission.
Copyright © University of Tartu | IMCB Bioinformatics dept.
Please cite as: Aun et al. (2018) A k-mer-based method for the
identification of phenotype-associated genomic biomarkers and predicting phenotypes of
sequenced bacteria. PLOS Computational Biology 14(10):