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A comparison of phasing algorithms for trios and unrelated individuals.

Abstract:

Knowledge of haplotype phase is valuable for many analysis methods in the study of disease, population, and evolutionary genetics. Considerable research effort has been devoted to the development of statistical and computational methods that infer haplotype phase from genotype data. Although a substantial number of such methods have been developed, they have focused principally on inference from unrelated individuals, and comparisons between methods have been rather limited. Here, we describe...

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Publication status:
Published

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Publisher copy:
10.1086/500808

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics, Clinical Medicine
Role:
Author
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Journal:
American journal of human genetics
Volume:
78
Issue:
3
Pages:
437-450
Publication date:
2006-03-05
DOI:
EISSN:
1537-6605
ISSN:
0002-9297
URN:
uuid:bbcb2d19-1cd3-4af3-8831-6de2f8c52856
Source identifiers:
88364
Local pid:
pubs:88364

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