Title: Retrieving Information of Proteins from Uniprot
Authors@R: c(person("Ali", "Mostafa", email = "ali.mo.anwar@std.agr.cu.edu.eg", role = "aut"), person("Mohamed", "Soudy", email = "MohmedSoudy2009@gmail.com", role=c("aut", "cre")))
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information.
Depends: httr , ggplot2 , magick , utils , grDevices , graphics , plyr

Imports: utils , grDevices , graphics, httr , plyr , scales , stats ,

Imports: utils , grDevices , graphics, httr , plyr , dplyr , scales ,
stats , magrittr , magick , data.tree , ggplot2 , ape ,
tidyverse , seqinr , grid , gridExtra , ggpubr , alakazam , msa

stats , magrittr , magick , data.tree , ggplot2 , tidyverse ,

Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.

grid , gridExtra , ggpubr , alakazam, curl

Imports: utils , grDevices , stats , grid , graphics , httr , plyr ,
dplyr , scales , magrittr , magick , data.tree , ggplot2 ,
tidyverse , gridExtra , ggpubr , alakazam, curl, networkD3,
stringr , qdapRegex , htmlwidgets, ReactomePA , gprofiler2

stringr , qdapRegex , htmlwidgets , gprofiler2

tidyverse , gridExtra , ggpubr , curl, networkD3, stringr ,
qdapRegex , htmlwidgets , alakazam (>= 1.0.0), gprofiler2,

Title: Check if Roots of a Polynomial Lie Outside the Unit Circle
Description: The uc.check() function checks whether the roots of a given polynomial lie outside the Unit circle. You can also easily draw an unit circle.

Title: Performs Unit Root Test Statistics
Description: A test to understand the stability of the underlying
stochastic data. Helps the user’s understand whether the random variable under
consideration is stationary or non-stationary without any manual interpretation
of the results. It further ensures to check all the prerequisites and assumptions which
are underlying the unit root test statistics and if the underlying data is found to be non-stationary in all
the 4 lags the function diagnoses the input data and returns with an optimised solution on the same.