Biological sequence models represent computational techniques to evaluate and interpret the occurrences of biological patterns in genomics and proteomics. These models offer conceptual frameworks for comprehending the organization, operation, statistical relevance, and evolutionary connections of nucleotide and protein sequences by capturing discernible patterns and consistent occurrences within the data. Using these models, researchers may forecast unfamiliar sequences, detect operational patterns, and deduce evolutionary links among species.