GraphPop: graph-native computation decouples population genomics complexity from sample count

Abstract excerpt

Matrix-based population genomics tools scale as O ( V × N ) , re-reading the full genotype matrix for every analysis. Here we present GraphPop, a graph database engine that reduces summary statistic complexity to O ( V × K ) where K is population count—independent of sample count—by computing on pre-aggregated allele-count arrays stored as graph node properties. The same architecture enables annotation-co...

Topics

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• Algorithms
• Computer Graphics
• Genome, Human
• Genotyping Techniques
• High-Throughput Nucleotide Sequencing
• HLA Antigens
• Sequence Alignment
• Software

Identifiers and source

Literature Corpus work

9e5737d7-f0e9-5faf-8524-213827475c36

DOI

10.64898/2026.04.11.717929