John A Bunge

Summary

Affiliation: Cornell University
Country: USA

Publications

  1. ncbi request reprint Estimating the number of species with CatchAll
    John Bunge
    Department of Statistical Science, 1198 Comstock Hall, Cornell University, Ithaca, NY 14853, USA
    Pac Symp Biocomput . 2011
  2. ncbi request reprint Estimating population diversity with unreliable low frequency counts
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Pac Symp Biocomput . 2012
  3. pmc Estimating population diversity with CatchAll
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Bioinformatics 28:1045-7. 2012
  4. ncbi request reprint Comment on "Computational improvements reveal great bacterial diversity and high metal toxicity in soil"
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Science 313:918; author reply 918. 2006
  5. doi request reprint Parametric models for estimating the number of classes
    John Bunge
    Departgment of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Biom J 50:971-82. 2008
  6. pmc Environmental rRNA inventories miss over half of protistan diversity
    Sunok Jeon
    Department of Environmental Science, Kangwon National University, Kangwon Do, Korea
    BMC Microbiol 8:222. 2008
  7. pmc A bacterial artificial chromosome library for the Australian saltwater crocodile (Crocodylus porosus) and its utilization in gene isolation and genome characterization
    Xueyan Shan
    Mississippi Genome Exploration Laboratory, Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA
    BMC Genomics 10:S9. 2009

Collaborators

  • Daniel G Peterson
  • Xueyan Shan
  • Sunok Jeon
  • David A Ray
  • Chesley Leslin
  • Slava S Epstein
  • Thorsten Stoeck
  • Sunhee Hong

Detail Information

Publications7

  1. ncbi request reprint Estimating the number of species with CatchAll
    John Bunge
    Department of Statistical Science, 1198 Comstock Hall, Cornell University, Ithaca, NY 14853, USA
    Pac Symp Biocomput . 2011
    ..We briefly describe the software and its mathematical underpinnings (which are treated in depth elsewhere), and we work through an applied example from microbial ecology in detail...
  2. ncbi request reprint Estimating population diversity with unreliable low frequency counts
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Pac Symp Biocomput . 2012
    ..We find that these purely statistical "downstream" corrections will depend strongly on their underlying assumptions, but that such methods can be useful nonetheless...
  3. pmc Estimating population diversity with CatchAll
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Bioinformatics 28:1045-7. 2012
    ..There is a need for software employing modern, computationally intensive statistical analyses including error, goodness-of-fit and robustness assessments...
  4. ncbi request reprint Comment on "Computational improvements reveal great bacterial diversity and high metal toxicity in soil"
    John Bunge
    Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Science 313:918; author reply 918. 2006
    ..We also note two potential sources of error in the experimental data collection and measurement procedures...
  5. doi request reprint Parametric models for estimating the number of classes
    John Bunge
    Departgment of Statistical Science, Cornell University, Ithaca, NY 14853, USA
    Biom J 50:971-82. 2008
    ..Finally we consider the connections between parametric models for abundance and incidence data, again noting the usefulness of finite mixture models...
  6. pmc Environmental rRNA inventories miss over half of protistan diversity
    Sunok Jeon
    Department of Environmental Science, Kangwon National University, Kangwon Do, Korea
    BMC Microbiol 8:222. 2008
    ..Here we attempt to discriminate between these possibilities by statistically analysing four protistan inventories obtained using different general eukaryotic PCR primers...
  7. pmc A bacterial artificial chromosome library for the Australian saltwater crocodile (Crocodylus porosus) and its utilization in gene isolation and genome characterization
    Xueyan Shan
    Mississippi Genome Exploration Laboratory, Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA
    BMC Genomics 10:S9. 2009
    ..This is the first BAC library for a crocodile and only the second BAC resource for a crocodilian...