get_FCs                 This function execute the Differential
                        Translation Analysis on its own using DeltaTE.
                        The output is a dataframe with the FC in mRNA
                        counts, RIBO counts or TE between the
                        conditions in exam.
get_gene_from_kegg_pathway
                        This function retrieves, for a given pathway
                        id, the member genes GeneID (ensembl) and gene
                        name. It then extracts their rows from the
                        results produced by get_FC, to allow the manual
                        inspection of the genes within a pathway of
                        interest.
id_converter            Convert the human gene identifier (hgnc_symbol
                        or ensembl_gene_id) to entrezgene_id format for
                        the analysis.
plotDTA                 This function will plot an interactive html
                        plot of the results of get_FCs.R That is to
                        say, a plot of the genes undergoing
                        translational regulation, coloured by RegMode.
                        Genes whose RegMode was Undeterminable or
                        Undetermined are omitted.
plot_pathway_changes    This function plots, for a given pathway id,
                        the member genes RNA, RIBO, and TE fold changes
                        on the relative pathway (3 plots). Only
                        significant genes are plotted. Plots are saved
                        as .png files.
prepareTerapadogData    Prepare Data by Loading and Validating RNA,
                        RIBO Counts, and Metadata. This function reads
                        RNA and RIBO count files, checks input data
                        validity and merges them into a single
                        numerical matrix (expression.data). It also
                        prepares the metatadata needed by padog
                        (exp_de).
terapadog               Performs the main Gene Set Enrichement
                        Analysis, by applying a modified version of the
                        PADOG algorithm to genes undergoing changes in
                        TE.
