PHScaffolding: a hypergraph clustering and dual-weight integration strategy for scaffolding with Pore-C reads.

ABSTRACT: Genome assembly aims to construct chromosome-level genome sequences, with scaffolding serving as a critical step, the accuracy of which highly depends on the quality of the input data. Although both Hi-C and Pore-C technologies are used to study genomic 3D structures, Pore-C demonstrates irreplaceable advantages in high-precision assembly due to its ability to capture long-range information and provide multi-fragment interaction information. However, most current scaffolding methods primarily rely on Hi-C data, which is limited by the inherent constraints of the technology, resulting in deficiencies in assembly continuity and accuracy. We propose a scaffolding method based on Pore-C data, named PHScaffolding. This method constructs a hypergraph by leveraging alignment information from Pore

SUBMITTER: Su Q 

PROVIDER: S-EPMC12825295 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature