T. Mackay

Genetics · 2001–2014

A researcher in the Science corpus: 10 papers; trusts 2 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom T. Mackay trusts overall

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

  1. P. Phillips
  2. Julien F. Ayroles
  3. H. Hoekstra
  4. Eric A. Stone
  5. Heather J. Cordell
  6. Avshalom Caspi
  7. D. Roff
  8. M. Rockman
  9. David Altshuler

Who trusts T. Mackay overall

  1. Jianming Yu
  2. R. Bernardo
  3. James H. Fowler
  4. Pankaj Kumar Gupta
  5. Christopher T. Dawes
  6. K. Sorkheh
  7. Edward S. Buckler
  8. Greg Gibson
  9. S. Rustgi
  10. Brandon M. Lind

Papers from T. Mackay's perspective

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

  1. Data and Theory Point to Mainly Additive Genetic Variance for Complex Traits (PLoS Genetics)
  2. Principal components analysis corrects for stratification in genome-wide association studies
  3. PLINK: a tool set for whole-genome association and population-based linkage analyses.
  4. Genetics of gene expression and its effect on disease (Nature)
  5. Variations in DNA elucidate molecular networks that cause disease (Nature)
  6. The mystery of missing heritability: Genetic interactions create phantom heritability (Proceedings of the National Academy of Sciences of the United States of America)
  7. Fast and accurate long-read alignment with Burrows–Wheeler transform (Bioinform.)
  8. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
  9. A framework for variation discovery and genotyping using next-generation DNA sequencing data
  10. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. (Genome Research)

Their papers