person("Ivo", "Ugrina", role=c("aut", "cre"),
email="ivo@iugrina.com")
Useful utilities in N-glycan data analysis. This package tries
to fill the gap in N-glycan data analysis by providing easy
to use functions for glycomics analysis
(see https://en.wikipedia.org/wiki/Glycomics for more
details on Glycomics). At the moment glycanr is mostly oriented
to data obtained by UPLC and LCMS analysis of Plasma and IgG glycome.

c(
person("Ivo", "Ugrina", role=c("aut", "cre", "cph"),
email="ivo@iugrina.com"),
person("Lucija", "Klaric", role="aut"),
person("Frano", "Vuckovic", role="aut"))
Useful utilities in N-glycan data analysis. This package tries
to fill the gap in N-glycan data analysis by providing easy
to use functions for basic operations on data
(see https://en.wikipedia.org/wiki/Glycomics for more
details on Glycomics). At the moment glycanr is mostly oriented
to data obtained by UPLC and LCMS analysis of Plasma and IgG glycome.
Ivo Ugrina [aut, cre, cph],
Lucija Klaric [aut],
Frano Vuckovic [aut]

c(
person("Ivo", "Ugrina", role=c("aut", "cre", "cph"),
email="ivougrina@gmail.com"),
person("Lucija", "Klaric", role="aut"),
person("Alyce", "Russell", role="aut"),
person("Frano", "Vuckovic", role="aut"))
Useful utilities in N-glycan data analysis. This package tries
to fill the gap in N-glycan data analysis by providing easy
to use functions for basic operations on data
(see <https://en.wikipedia.org/wiki/Glycomics> for more
details on Glycomics). At the moment 'glycanr' is mostly oriented
to data obtained by UPLC (Ultra Performance Liquid Chromatography)
and LCMS (Liquid chromatography–mass spectrometry)
analysis of Plasma and IgG glycome.
Ivo Ugrina [aut, cre, cph],
Lucija Klaric [aut],
Alyce Russell [aut],
Frano Vuckovic [aut]

Generate Musical Scores Easily and Show Them Anywhere
Provides a simple and intuitive language, with which you can
create complex music easily. Takes care of all the dirty technical
details in converting your music to musical scores and audio files.
Works in 'R Markdown' documents <https://rmarkdown.rstudio.com/>,
R 'Jupyter Notebooks' <https://jupyter.org/>, and 'RStudio'
<https://rstudio.com/>, so you can embed musical scores and audio files
anywhere. Internally, uses 'MusicXML' <https://www.musicxml.com/> to
represent musical scores, and 'MuseScore' <https://musescore.org/> to
convert 'MusicXML'.
base64enc, glue, htmltools, magick, magrittr, MASS, rlang,
rstudioapi, stringr, utils