ArticleJournal of computational biology : a journal of computational molecular cell biology2026
An Efficient Dynamic Data Structure for Haplotype Matching and Compression on Biobank-Scale Data.
Article in Journal of computational biology : a journal of computational molecular cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Advanced genotyping technology has made it feasible for large numbers of individuals to be genotyped resulting in many biobanks across the world. These biobanks are an excellent resource to study haplotype matching at a large scale. Durbin's positional Burrows-Wheeler transform (PBWT) supports efficient haplotype matching and queries given a panel of haplotypes and scales well with large data. It has been widely used for statistical phasing, imputation, and identity-by-descent detection. However, the original PBWT panel does not support updates when haplotypes need to be added or deleted from the panel. Dynamic-PBWT (d-PBWT) solved this problem but is not memory efficient. While the memory constraint problem of the PBWT has been tackled by Syllable-PBWT and
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