What Types of Genomic Algorithms Are Commonly Used?
Several types of genomic algorithms are commonly used in epidemiology:
1. Sequence Alignment Algorithms - These are used to align DNA, RNA, or protein sequences to identify regions of similarity. Common tools include BLAST and MAFFT.
2. Phylogenetic Analysis - Algorithms like Maximum Likelihood and Bayesian Inference help in constructing phylogenetic trees to study evolutionary relationships.
3. Genome-Wide Association Studies (GWAS) - These involve statistical techniques to associate specific genetic variants with traits or diseases.
4. Machine Learning Algorithms - Techniques like Random Forests and Neural Networks are used for predictive modeling and pattern recognition in genomic data.
