| 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 |
| 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 |
| overlapping_among_groups | Overlapping between grouping factors |
| PleioChiTest | Compute a multi-trait test statistic for pleiotropic effects using summary statistics from association tests |
| plot_overlapping | Plot overlapping between data and grouping factors |
| plot_qtl_info | Plot QTLs information from the find_genes_qtls_around_markers output |
| QTLenrich_plot | Plot enrichment results for QTL enrichment analysis |
| 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 |