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Connection

Matthew Stephens to Software

This is a "connection" page, showing publications Matthew Stephens has written about Software.
Connection Strength

1.732
  1. Creating and sharing reproducible research code the workflowr way. F1000Res. 2019; 8:1749.
    View in: PubMed
    Score: 0.524
  2. Visualizing spatial population structure with estimated effective migration surfaces. Nat Genet. 2016 Jan; 48(1):94-100.
    View in: PubMed
    Score: 0.401
  3. msHOT: modifying Hudson's ms simulator to incorporate crossover and gene conversion hotspots. Bioinformatics. 2007 Feb 15; 23(4):520-1.
    View in: PubMed
    Score: 0.215
  4. A new sequence logo plot to highlight enrichment and depletion. BMC Bioinformatics. 2018 Dec 10; 19(1):473.
    View in: PubMed
    Score: 0.124
  5. Efficient multivariate linear mixed model algorithms for genome-wide association studies. Nat Methods. 2014 Apr; 11(4):407-9.
    View in: PubMed
    Score: 0.089
  6. Polygenic modeling with bayesian sparse linear mixed models. PLoS Genet. 2013; 9(2):e1003264.
    View in: PubMed
    Score: 0.082
  7. Genome-wide efficient mixed-model analysis for association studies. Nat Genet. 2012 Jun 17; 44(7):821-4.
    View in: PubMed
    Score: 0.079
  8. Practical issues in imputation-based association mapping. PLoS Genet. 2008 Dec; 4(12):e1000279.
    View in: PubMed
    Score: 0.062
  9. Imputation-based analysis of association studies: candidate regions and quantitative traits. PLoS Genet. 2007 Jul; 3(7):e114.
    View in: PubMed
    Score: 0.056
  10. Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation. Am J Hum Genet. 2005 Mar; 76(3):449-62.
    View in: PubMed
    Score: 0.047
  11. A comparison of bayesian methods for haplotype reconstruction from population genotype data. Am J Hum Genet. 2003 Nov; 73(5):1162-9.
    View in: PubMed
    Score: 0.043
  12. Traces of human migrations in Helicobacter pylori populations. Science. 2003 Mar 07; 299(5612):1582-5.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.