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ampir 1.1.0 (29/06/2021)

• ampir now has a Shiny based web interface! https://ampir.marine-omics.net/
• updated both classification models (ampir_precursor and ampir_mature) with additional AMPs
• fixed an example in the README which resulted in NAs output (@Ebedthan, #20)
• converted input for calculate_features.R to a dataframe, in case it was not a dataframe

ampir 1.0.0 (11/05/2020)

This is new release which contain new features and bug fixes. In this version, we have:

• added the remove_non_standardaa.R function
• exported calculate_features.R
• tidied up code to improve running speed of calculate_features.R
• changed the default min_len parameter in calculate_features from 20 to 10
• included the option to parallelise predict_amps.R
• inluded the option to add self-trained models to predict_amps.R
• added another vignette (train_model.Rmd) detailing how to train models for predict_amps.R
• updated the default prediction model used in predict_amps.R and optimised it for precursor proteins
• added a secondary prediction model for use in predict_amps.R, optimised for mature proteins
• updated introduction to ampir vignette (ampir.Rmd) and README.Rmd

ampir 0.1.0 (20/11/2019)

Initial release to GitHub

• Prior to this, it was a private package

Initial submission

• CRAN Initial submission

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.