Changes in version 1.1.0 (2021-06-29)                  

  - 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

                 Changes in version 1.0.0 (2020-05-11)                  

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

                 Changes in version 0.1.0 (2019-12-06)                  

Initial release to GitHub

  - Prior to this, it was a private package

Initial submission

  - CRAN Initial submission