Zhengdong D Zhang

Summary

Affiliation: Albert Einstein College of Medicine
Country: USA

Publications

  1. pmc Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
    Zhengdong D Zhang
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
    BMC Bioinformatics 11:539. 2010
  2. pmc Identification of genomic indels and structural variations using split reads
    Zhengdong D Zhang
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
    BMC Genomics 12:375. 2011
  3. pmc SubNet: a Java application for subnetwork extraction
    Christophe Lemetre
    Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
    Bioinformatics 29:2509-11. 2013
  4. doi A brief introduction to tiling microarrays: principles, concepts, and applications
    Christophe Lemetre
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
    Methods Mol Biol 1067:3-19. 2013
  5. pmc Integrated analysis of experimental data sets reveals many novel promoters in 1% of the human genome
    Nathan D Trinklein
    Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
    Genome Res 17:720-31. 2007

Collaborators

Detail Information

Publications5

  1. pmc Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
    Zhengdong D Zhang
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
    BMC Bioinformatics 11:539. 2010
    ....
  2. pmc Identification of genomic indels and structural variations using split reads
    Zhengdong D Zhang
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
    BMC Genomics 12:375. 2011
    ..Here we present split-read identification, calibrated (SRiC), a sequence-based method for SV detection...
  3. pmc SubNet: a Java application for subnetwork extraction
    Christophe Lemetre
    Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
    Bioinformatics 29:2509-11. 2013
    ..Of note, we developed a method based on the highly successful Google PageRank algorithm to extract the subnetwork using the node centrality metric, to which possible node weights of the selected genes can be incorporated...
  4. doi A brief introduction to tiling microarrays: principles, concepts, and applications
    Christophe Lemetre
    Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
    Methods Mol Biol 1067:3-19. 2013
    ..In this chapter we first introduce the principles behind the emergence and the development of tiling microarrays, and then discuss with some examples how they are used to investigate different biological problems. ..
  5. pmc Integrated analysis of experimental data sets reveals many novel promoters in 1% of the human genome
    Nathan D Trinklein
    Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
    Genome Res 17:720-31. 2007
    ..Our results suggest that there are at least 35% more functional promoters in the human genome than currently annotated...