Searching journal content for articles similar to Johnson and Slatkin 16 (10): 1320.

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  1. Review: Population genetic inference from genomic sequence variation
    • John E. Pool,
    • Ines Hellmann,
    • Jeffrey D. Jensen,
    • and Rasmus Nielsen
    Genome Res. March 2010 20: 291-300; Published in Advance January 12, 2010, doi:10.1101/gr.079509.108
    ...model or an explicit demographic context. Methods that do infer population parameters from large data sets often focus on the AFS or the genomic means of summary statistics and their variances across the . However, many uniquely informative aspects of wide data—such as long-range haplotype patterns...
  2. Methods: Estimating population genetic parameters and comparing model goodness-of-fit using DNA sequences with error
    • Xiaoming Liu,
    • Yun-Xin Fu,
    • Taylor J. Maxwell,
    • and Eric Boerwinkle
    Genome Res. January 2010 20: 101-109; Published in Advance December 1, 2009, doi:10.1101/gr.097543.109
    ...likelihood of the observed SNP configurations to infer population mutation rate u = 4Nem, population exponential growth rate R, and error rate e, simultaneously. Using simulation, we show the combined effects of the parameters, u, n, e, and R on the accuracy of parameter estimation. We compared our maximum...
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  3. LETTER: Population genetic analysis of shotgun assemblies of genomic sequences from multiple individuals
    • Ines Hellmann,
    • Yuan Mang,
    • Zhiping Gu,
    • Peter Li,
    • Francisco M. de la Vega,
    • Andrew G. Clark,
    • and Rasmus Nielsen
    Genome Res. July 2008 18: 1020-1029; Published in Advance April 14, 2008, doi:10.1101/gr.074187.107
    ...; Wooding and Rogers 2002 ; Polanski and Kimmel 2003 ; Adams and Hudson 2004 ; Myers et al. 2005 ) and methods for quantifying recombination rates and identifying recombination hotspots ( Hudson 2001 ; McVean 2002 ). A fundamental parameter of interest in population genetic analyses is θ = 4 Neμ , where Ne...
  4. Method: A reduced representation approach to population genetic analyses and applications to human evolution
    • Francesca Luca,
    • Richard R. Hudson,
    • David B. Witonsky,
    • and Anna Di Rienzo
    Genome Res. July 2011 21: 1087-1098; Published in Advance May 31, 2011, doi:10.1101/gr.119792.110
    ...population genetic inferences. This approach can be applied to any species for which a draft or complete reference genome sequence is available. The new tools we have developed include methods for aligning reads, calling genotypes, and incorporating sample-specific sequencing error rates in the estimate...
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