BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 26929272)

  • 1. High rates of phasing errors in highly polymorphic species with low levels of linkage disequilibrium.
    Bukowicki M; Franssen SU; Schlötterer C
    Mol Ecol Resour; 2016 Jul; 16(4):874-82. PubMed ID: 26929272
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A strategy to improve phasing of whole-genome sequenced individuals through integration of familial information from dense genotype panels.
    Faux P; Druet T
    Genet Sel Evol; 2017 May; 49(1):46. PubMed ID: 28511677
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Phasing quality assessment in a brown layer population through family- and population-based software.
    Frioni N; Cavero D; Simianer H; Erbe M
    BMC Genet; 2019 Jul; 20(1):57. PubMed ID: 31311514
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Benchmarking phasing software with a whole-genome sequenced cattle pedigree.
    Oget-Ebrad C; Kadri NK; Moreira GCM; Karim L; Coppieters W; Georges M; Druet T
    BMC Genomics; 2022 Feb; 23(1):130. PubMed ID: 35164677
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of phasing strategies for whole human genomes.
    Choi Y; Chan AP; Kirkness E; Telenti A; Schork NJ
    PLoS Genet; 2018 Apr; 14(4):e1007308. PubMed ID: 29621242
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The linkage method: a novel approach for SNP detection and haplotype reconstruction from a single diploid individual using next-generation sequence data.
    Sasaki E; Sugino RP; Innan H
    Mol Biol Evol; 2013 Sep; 30(9):2187-96. PubMed ID: 23728796
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A computational method for genotype calling in family-based sequencing data.
    Chang LC; Li B; Fang Z; Vrieze S; McGue M; Iacono WG; Tseng GC; Chen W
    BMC Bioinformatics; 2016 Jan; 17():37. PubMed ID: 26772743
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Patterns of linkage disequilibrium and long range hitchhiking in evolving experimental Drosophila melanogaster populations.
    Franssen SU; Nolte V; Tobler R; Schlötterer C
    Mol Biol Evol; 2015 Feb; 32(2):495-509. PubMed ID: 25415966
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Microhaplotypes provide increased power from short-read DNA sequences for relationship inference.
    Baetscher DS; Clemento AJ; Ng TC; Anderson EC; Garza JC
    Mol Ecol Resour; 2018 Mar; 18(2):296-305. PubMed ID: 29143457
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genotype phasing in pedigrees using whole-genome sequence data.
    Blackburn AN; Blondell L; Kos MZ; Blackburn NB; Peralta JM; Stevens PT; Lehman DM; Blangero J; Göring HHH
    Eur J Hum Genet; 2020 Jun; 28(6):790-803. PubMed ID: 31996801
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid peeling for fast and accurate calling, phasing, and imputation with sequence data of any coverage in pedigrees.
    Whalen A; Ros-Freixedes R; Wilson DL; Gorjanc G; Hickey JM
    Genet Sel Evol; 2018 Dec; 50(1):67. PubMed ID: 30563452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Haplotype phasing after joint estimation of recombination and linkage disequilibrium in breeding populations.
    Gomez-Raya L; Hulse AM; Thain D; Rauw WM
    J Anim Sci Biotechnol; 2013 Aug; 4(1):30. PubMed ID: 23916349
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Genotype calling and phasing using next-generation sequencing reads and a haplotype scaffold.
    Menelaou A; Marchini J
    Bioinformatics; 2013 Jan; 29(1):84-91. PubMed ID: 23093610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle.
    Brøndum RF; Guldbrandtsen B; Sahana G; Lund MS; Su G
    BMC Genomics; 2014 Aug; 15(1):728. PubMed ID: 25164068
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The utility of low-density genotyping for imputation in the Thoroughbred horse.
    Corbin LJ; Kranis A; Blott SC; Swinburne JE; Vaudin M; Bishop SC; Woolliams JA
    Genet Sel Evol; 2014 Feb; 46(1):9. PubMed ID: 24495673
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Off the street phasing (OTSP): no hassle haplotype phasing for molecular PGD applications.
    Zeevi DA; Zahdeh F; Kling Y; Carmi S; Altarescu G
    J Assist Reprod Genet; 2019 Apr; 36(4):727-739. PubMed ID: 30617673
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variation of estimates of SNP and haplotype diversity and linkage disequilibrium in samples from the same population due to experimental and evolutionary sample size.
    Visscher PM
    Ann Hum Genet; 2007 Jan; 71(Pt 1):119-26. PubMed ID: 17227482
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Phasing for medical sequencing using rare variants and large haplotype reference panels.
    Sharp K; Kretzschmar W; Delaneau O; Marchini J
    Bioinformatics; 2016 Jul; 32(13):1974-80. PubMed ID: 27153703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken.
    Megens HJ; Crooijmans RP; Bastiaansen JW; Kerstens HH; Coster A; Jalving R; Vereijken A; Silva P; Muir WM; Cheng HH; Hanotte O; Groenen MA
    BMC Genet; 2009 Dec; 10():86. PubMed ID: 20021697
    [TBL] [Abstract][Full Text] [Related]  

  • 20. trioPhaser: using Mendelian inheritance logic to improve genomic phasing of trios.
    Miller DB; Piccolo SR
    BMC Bioinformatics; 2021 Nov; 22(1):559. PubMed ID: 34809557
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.