A linear complexity phasing method for thousands of genomes
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Updated: Oct 6, 2026

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions
Published on: May 28, 2017
Olivier Delaneau1, Jonathan Marchini, Jean-François Zagury
1Laboratoire Génomique, Bioinformatique, et Applications (Equipe d'accueil 4627), Conservatoire National des Arts et Métiers, Paris, France.
Abstract:
Human-disease etiology can be better understood with phase information about diploid sequences. We present a method for estimating haplotypes, using genotype data from unrelated samples or small nuclear families, that leads to improved accuracy and speed compared to several widely used methods. The method, segmented haplotype estimation and imputation tool (SHAPEIT), scales linearly with the number of haplotypes used in each iteration and can be run efficiently on whole chromosomes.
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