Accurate, scalable and integrative haplotype estimation

Olivier Delaneau; Jean-François Zagury; Matthew R. Robinson; Jonathan L. Marchini; Emmanouil T. Dermitzakis

doi:10.1038/s41467-019-13225-y

Nature Communications (Nov 2019)

Accurate, scalable and integrative haplotype estimation

Olivier Delaneau,
Jean-François Zagury,
Matthew R. Robinson,
Jonathan L. Marchini,
Emmanouil T. Dermitzakis

Affiliations

Olivier Delaneau: Department of Computational Biology, University of Lausanne, Génopode
Jean-François Zagury: Chaire de Bioinformatique, Laboratoire GBCM (EA7528), Conservatoire National des Arts et Métiers, HESAM Université
Matthew R. Robinson: Department of Computational Biology, University of Lausanne, Génopode
Jonathan L. Marchini: Department of Statistics, University of Oxford
Emmanouil T. Dermitzakis: Department of Genetic Medicine and Development, University of Geneva Medical School

DOI: https://doi.org/10.1038/s41467-019-13225-y
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 10

Abstract

Read online

Haplotype information inferred by phasing is useful in genetic and genomic analysis. Here, the authors develop SHAPEIT4, a phasing method that exhibits sub-linear running time, provides accurate haplotypes and enables integration of external phasing information.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal