Literature DB >> 25573918

LINKPHASE3: an improved pedigree-based phasing algorithm robust to genotyping and map errors.

Tom Druet1, Michel Georges1.   

Abstract

Many applications in genetics require haplotype reconstruction. We present a phasing program designed for large half-sibs families (as observed in plant and animals) that is robust to genotyping and map errors. We demonstrate that it is more efficient than previous versions and other programs, particularly in the presence of genotyping errors.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mesh：

Year:  2015        PMID： 25573918     DOI： 10.1093/bioinformatics/btu859

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  20 in total

1.  GenomeLaser: fast and accurate haplotyping from pedigree genotypes.

Authors:  Wenzhi Li; Guoxing Fu; Weinian Rao; Wei Xu; Li Ma; Shiwen Guo; Qing Song
Journal:  Bioinformatics       Date:  2015-08-18       Impact factor: 6.937

2.  Genetic architecture of individual variation in recombination rate on the X chromosome in cattle.

Authors:  Junjie Zhang; Naveen Kumar Kadri; Erik Mullaart; Richard Spelman; Sébastien Fritz; Didier Boichard; Carole Charlier; Michel Georges; Tom Druet
Journal:  Heredity (Edinb)       Date:  2020-07-10       Impact factor: 3.821

3.  Breeding Top Genotypes and Accelerating Response to Recurrent Selection by Selecting Parents with Greater Gametic Variance.

Authors:  Piter Bijma; Yvonne C J Wientjes; Mario P L Calus
Journal:  Genetics       Date:  2019-11-26       Impact factor: 4.562

4.  Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs.

Authors:  Alexander Hampel; Friedrich Teuscher; Luis Gomez-Raya; Michael Doschoris; Dörte Wittenburg
Journal:  Front Genet       Date:  2018-06-05       Impact factor: 4.599

5.  An imputed whole-genome sequence-based GWAS approach pinpoints causal mutations for complex traits in a specific swine population.

Authors:  Guorong Yan; Xianxian Liu; Shijun Xiao; Wenshui Xin; Wenwu Xu; Yiping Li; Tao Huang; Jiangtao Qin; Lei Xie; Junwu Ma; Zhiyan Zhang; Lusheng Huang
Journal:  Sci China Life Sci       Date:  2021-08-11       Impact factor: 6.038

6.  Coding and noncoding variants in HFM1, MLH3, MSH4, MSH5, RNF212, and RNF212B affect recombination rate in cattle.

Authors:  Naveen Kumar Kadri; Chad Harland; Pierre Faux; Nadine Cambisano; Latifa Karim; Wouter Coppieters; Sébastien Fritz; Erik Mullaart; Denis Baurain; Didier Boichard; Richard Spelman; Carole Charlier; Michel Georges; Tom Druet
Journal:  Genome Res       Date:  2016-08-11       Impact factor: 9.043

7.  Age-based partitioning of individual genomic inbreeding levels in Belgian Blue cattle.

Authors:  Marina Solé; Ann-Stephan Gori; Pierre Faux; Amandine Bertrand; Frédéric Farnir; Mathieu Gautier; Tom Druet
Journal:  Genet Sel Evol       Date:  2017-12-22       Impact factor: 4.297

8.  An Intronic MBTPS2 Variant Results in a Splicing Defect in Horses with Brindle Coat Texture.

Authors:  Leonardo Murgiano; Dominik P Waluk; Rachel Towers; Natalie Wiedemar; Joëlle Dietrich; Vidhya Jagannathan; Michaela Drögemüller; Pierre Balmer; Tom Druet; Arnaud Galichet; M Cecilia Penedo; Eliane J Müller; Petra Roosje; Monika M Welle; Tosso Leeb
Journal:  G3 (Bethesda)       Date:  2016-09-08       Impact factor: 3.154

9.  Variation in Recombination Rate and Its Genetic Determinism in Sheep Populations.

Authors:  Morgane Petit; Jean-Michel Astruc; Julien Sarry; Laurence Drouilhet; Stéphane Fabre; Carole R Moreno; Bertrand Servin
Journal:  Genetics       Date:  2017-08-09       Impact factor: 4.562

10.  Fixed-length haplotypes can improve genomic prediction accuracy in an admixed dairy cattle population.

Authors:  Melanie Hess; Tom Druet; Andrew Hess; Dorian Garrick
Journal:  Genet Sel Evol       Date:  2017-07-03       Impact factor: 4.297
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