Bryan N. Howie

Genetics · 2007–2015

A researcher in the Science corpus: 13 papers; trusts 16 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan N. Howie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jonathan Marchini
  2. Matthew Stephens
  3. Paul Scheet
  4. Brian L. Browning
  5. Sharon R. Browning
  6. Na Li
  7. Peter Donnelly
  8. Yun Li
  9. S. Myers
  10. Gonçalo R. Abecasis

Who trusts Bryan N. Howie overall

  1. Brian L. Browning
  2. Olivier Delaneau
  3. Jonathan Marchini
  4. Sharon R. Browning
  5. Christian Fuchsberger
  6. Po-Ru Loh
  7. Matthew Stephens
  8. Heng Li
  9. Gonçalo R. Abecasis
  10. Rina Foygel Barber

Papers from Bryan N. Howie's perspective

Ordered by how strongly the researchers Bryan N. Howie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A new statistical method for haplotype reconstruction from population data. (American Journal of Human Genetics)
  2. A comparison of bayesian methods for haplotype reconstruction from population genotype data. (American Journal of Human Genetics)
  3. A new multipoint method for genome-wide association studies by imputation of genotypes (Nature Genetics)
  4. Genotype Imputation with Thousands of Genomes (G3: Genes, Genomes, Genetics)
  5. Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. (Genetics)
  6. MaCH: Using Sequence and Genotype Data to Estimate Haplotypes and Unobserved Genotypes (Genetic Epidemiology)
  7. Calibrating a coalescent simulation of human genome sequence variation. (Genome Research)
  8. Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation. (American Journal of Human Genetics)
  9. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. (Genetics)
  10. A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase. (American Journal of Human Genetics)

Their papers