MODASv is a multifunctional visualization toolkit. It seamlessly accepts the results from MODAS, and visualizes the results in various forms, such as manhattan plot, forest plot, network plot, etc.

MODASv was mainly developed in Python3 and R language, and integrated multiple third-party tools to simplify the complexity of function implementation. According to the content of the analysis, the functional modules of MODASv can be divided into 5 categories:

1. Genotype information based visualization
2. Phenotype based visualization
3. GWAS results based visualization
4. Mendelian randomization(MR) analysis based visualization
5. Annotation information based visualization