Margaret A Taub

Summary

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

Publications

  1. pmc Using genotype array data to compare multi- and single-sample variant calls and improve variant call sets from deep coverage whole-genome sequencing data
    Suyash S Shringarpure
    Genetics Department, Stanford University School of Medicine, Stanford, CA USA
    Bioinformatics . 2016
  2. 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
  3. 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
  4. 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
  5. pmc A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome
    Rasika Ann Mathias
    Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
    Nat Commun 7:12522. 2016

Collaborators

  • Suyash S Shringarpure
  • Rasika Ann Mathias
  • Carlos D Bustamante
  • Ryan D Hernandez
  • Timothy D O'Connor
  • Kathleen C Barnes
  • Raul Torres
  • Jeffrey T Leek
  • Tejasvi S Niranjan
  • Luis Caraballo
  • Terri H Beaty
  • Tina Hartert
  • Lili Huang
  • Christopher R Gignoux
  • Michael Bamshad
  • Ingo Ruczinski
  • Trevor Ferguson
  • Maria Ilma Araujo
  • Victor E Ortega
  • Shaila Musharoff
  • Meher Preethi Boorgula
  • Eugene Bleecker
  • Francisco M De La Vega
  • Dan L Nicolae
  • Celeste Eng
  • Delmy Aracely Mejia-Mejia
  • Wenqing Fu
  • Nicholas Rafaels
  • Christopher Olopade
  • Mezbah U Faruque
  • Wendy E Grus
  • Olufunmilayo Olopade
  • L Keoki Williams
  • Pedro C Avila
  • Alvaro Mayorga
  • Ricardo Oliveira
  • Javier Marrugo
  • Nadia N Hansel
  • Marilyn G Foreman
  • Georgia M Dunston
  • Badri Padhukasahasram
  • Henry Richard Johnston
  • Zhaohui S Qin
  • Rasika A Mathias
  • Eimear E Kenny
  • Maria Yazdanbakhsh
  • María Pino-Yanes
  • Harold Watson
  • Kimberly Gietzen
  • Deborah Meyers
  • Edwin Francisco Herrera-Paz
  • Albert M Levin
  • Candelaria Vergara
  • Rajesh Kumar
  • James G Wilson
  • Jennifer Knight-Madden
  • Carole Ober
  • Wei Song
  • Jean G Ford
  • Dara G Torgerson
  • Lorraine B Ware
  • Leslie A Lange
  • Esteban G Burchard
  • Alan F Scott
  • Joshua Akey
  • Zachary A Szpiech
  • Jason L Rasgon
  • Rafael Irizarry
  • Héctor Corrada Bravo
  • Sarah J Wheelan
  • Tao Wang
  • Abby Adamczyk

Detail Information

Publications5

  1. pmc Using genotype array data to compare multi- and single-sample variant calls and improve variant call sets from deep coverage whole-genome sequencing data
    Suyash S Shringarpure
    Genetics Department, Stanford University School of Medicine, Stanford, CA USA
    Bioinformatics . 2016
    ..We demonstrate our method on a set of variant calls obtained from 642 African-ancestry genomes from the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA), sequenced to high depth (30X)...
  2. 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...
  3. 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...
  4. 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...
  5. pmc A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome
    Rasika Ann Mathias
    Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
    Nat Commun 7:12522. 2016
    ..Our data are an important resource for empowering disease mapping studies in African-admixed individuals and will facilitate gene discovery for diseases disproportionately affecting individuals of African ancestry...