NetCen                  Compute the centrality metrics for the nodes
                        composing the network generated by the NetVis
                        function
NetVis                  Create a dynamic network representing the
                        relationship between two groups of variables
Nmarkers_SimpleM        Estimate the number of effective markers in a
                        chromosome based on an adapted version of the
                        simpleM methodology
Nseg_chr                Estimate the number of independent segments in
                        a chromosome based on the effective population
                        size
PleioChiTest            Compute a multi-trait test statistic for
                        pleiotropic effects using summary statistics
                        from association tests
QTLenrich_plot          Plot enrichment results for QTL enrichment
                        analysis
find_genes_qtls_around_markers
                        Search genes and QTLs around candidate regions
gene_pval               Estimate a gene-level p-value using Weighted
                        Z-score approach and Meta-analysis with LD
                        correlation coefficients approach
import_gff_gtf          Import .gtf and .gff files to be used during
                        gene and QTL annotation, respectively
overlapping_among_groups
                        Overlapping between grouping factors
plot_overlapping        Plot overlapping between data and grouping
                        factors
plot_qtl_info           Plot QTLs information from the
                        find_genes_qtls_around_markers output
qtl_enrich              Performs a QTL enrichment analysis based on a
                        hypergeometric test for each QTL class
relationship_plot       Plot relationship between data and grouping
                        factors
