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