Genome annotation is a systematic process that assigns biological metadata and functional roles to nucleotide sequences by distinguishing coding from non-coding regions through structural-based (rule-based) or homology-based methods. Theoretically, this field relies on the separation of intrinsic data analysis (*ab initio* prediction using Hidden Markov Models and statistical signatures) and extrinsic evidence integration (homology search via databases like Repbase), necessitating a dual-step framework where repetitive elements are masked to minimize spurious open reading frames before gene architecture is inferred. This concept belongs to bioinformatics, specifically the sub-domain of comparative genomics, serving as the foundational prerequisite for functional analysis by transforming raw sequence data into structured genomic models that define exons, introns, and regulatory features.
Genome annotation is a systematic process that assigns biological metadata and functional roles to nucleotide sequences by distinguishing coding from non-coding regions through structural-based (rule…