Margaret A Taub

Summary

Affiliation: Johns Hopkins Bloomberg School of Public Health
Country: USA

Publications

  1. pmc A statistical approach to selecting and confirming validation targets in -omics experiments
    Jeffrey T Leek
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205 2179, USA
    BMC Bioinformatics 13:150. 2012
  2. pmc Effective detection of rare variants in pooled DNA samples using Cross-pool tailcurve analysis
    Tejasvi S Niranjan
    McKusick Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Genome Biol 12:R93. 2011
  3. pmc Overcoming bias and systematic errors in next generation sequencing data
    Margaret A Taub
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, E3527, Baltimore, MD 21205, USA
    Genome Med 2:87. 2010

Collaborators

  • Jeffrey T Leek
  • Tejasvi S Niranjan
  • Jason L Rasgon
  • Tao Wang
  • Abby Adamczyk
  • Sarah J Wheelan
  • Rafael Irizarry
  • H├ęctor Corrada Bravo

Detail Information

Publications3

  1. pmc A statistical approach to selecting and confirming validation targets in -omics experiments
    Jeffrey T Leek
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205 2179, USA
    BMC Bioinformatics 13:150. 2012
    ..But there is no standard approach for selecting and quantitatively evaluating validation targets...
  2. pmc Effective detection of rare variants in pooled DNA samples using Cross-pool tailcurve analysis
    Tejasvi S Niranjan
    McKusick Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Genome Biol 12:R93. 2011
    ..Validation by Sanger sequencing revealed an excellent combination of sensitivity and specificity for variant detection in pooled samples of both cohorts as compared to publicly available algorithms...
  3. pmc Overcoming bias and systematic errors in next generation sequencing data
    Margaret A Taub
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, E3527, Baltimore, MD 21205, USA
    Genome Med 2:87. 2010
    ..In this article, we review current knowledge about these biases, discuss their impact on analysis results, and propose solutions...