Pinned Repositories
AMPBenchmark
CancerGram
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
NegativeDatasets
Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data.
peptide-prediction-list
Collects software dedicated to predicting specific properties of peptides
PlastoGram
Predicts subplastid localization of proteins along with sequence origin (plastid- or nuclear-encoded).
adhesiomeR
adhesiomeR-paper
AmpGram-presentation
AmpGram-stats-vis
AmpGram