A variety of computational tools and software are used in genetic data analysis: - Bioinformatics Pipelines: Integrate multiple computational steps to process raw sequence data. - Statistical Software: Such as R and Python libraries, for data manipulation and statistical analysis. - Databases: Like dbSNP, ClinVar, and OMIM, which provide reference data for known mutations and their associated phenotypes.
