Genome survey analysis employs low-coverage sequencing of small-fragment libraries using NGS technology. Through K-mer analysis, this approach rapidly characterizes fundamental genomic attributes—including genome size, heterozygosity, and repeat content—providing a critical foundation for designing robust de novo whole genome sequencing strategies.
Analysis Content
Estimate genome size
Assess genomic heterozygosity
Evaluate repetitive sequence content
Determine genomic GC content
Provide strategic recommendations for library construction and subsequent genome assembly
Results
Figure. Linear frequency distribution plot (k-mer=21, maximum count=108)
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