De novo genome assembly is defined computationally as the reconstruction of a complete genomic sequence from a large set of short DNA reads without prior reference information, utilizing overlapping algorithms and graph-theoretical models to resolve contigs and scaffolds while managing challenges such as repetitive elements, heterozygosity, and ploidy. The field relies on abstract metrics including N50/NG50 for assessing assembly continuity relative to genome size, BUSCO for evaluating gene content completeness based on evolutionary conserved orthologs, and graph simplification techniques like de Bruijn or overlap graphs to navigate sequencing errors and structural ambiguities inherent in biological data. This theoretical framework operates within bioinformatics as the foundational mechanism for transforming raw high-throughput sequencing outputs into accurate reference sequences required for comparative genomics, population genetics, and functional annotation of non-model organisms.
De novo genome assembly is defined computationally as the reconstruction of a complete genomic sequence from a large set of short DNA reads without prior reference information, utilizing overlapping …