Justin B Kinney

Summary

Affiliation: Cold Spring Harbor Laboratory
Country: USA

Publications

  1. doi request reprint Parametric inference in the large data limit using maximally informative models
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, U S A
    Neural Comput 26:637-53. 2014
  2. pmc Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
    Justin B Kinney
    Department of Physics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 107:9158-63. 2010
  3. pmc Precise physical models of protein-DNA interaction from high-throughput data
    Justin B Kinney
    Physics Department and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 104:501-6. 2007
  4. pmc Domain within the helicase subunit Mcm4 integrates multiple kinase signals to control DNA replication initiation and fork progression
    Yi Jun Sheu
    Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:E1899-908. 2014
  5. pmc Equitability, mutual information, and the maximal information coefficient
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:3354-9. 2014

Collaborators

  • Gasper Tkacik
  • Yi Jun Sheu
  • Bruce Stillman
  • Philippe Pasero
  • Armelle Lengronne

Detail Information

Publications5

  1. doi request reprint Parametric inference in the large data limit using maximally informative models
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, U S A
    Neural Comput 26:637-53. 2014
    ..The presence of diffeomorphic modes reflects a fundamental and nontrivial substructure within parameter space, one that is obscured by standard likelihood-based inference. ..
  2. pmc Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
    Justin B Kinney
    Department of Physics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 107:9158-63. 2010
    ..The principles of our method can also be applied to a wide range of other problems in molecular biology...
  3. pmc Precise physical models of protein-DNA interaction from high-throughput data
    Justin B Kinney
    Physics Department and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 104:501-6. 2007
    ..Results from in vivo and in vitro experiments also provide highly consistent characterizations of Abf1p, a result that contrasts with a previous analysis of the same data...
  4. pmc Domain within the helicase subunit Mcm4 integrates multiple kinase signals to control DNA replication initiation and fork progression
    Yi Jun Sheu
    Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:E1899-908. 2014
    ..Together, our data suggest that the eukaryotic MCM helicase contains an intrinsic regulatory domain that integrates multiple signals to coordinate origin activation and replication fork progression under stress conditions. ..
  5. pmc Equitability, mutual information, and the maximal information coefficient
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:3354-9. 2014
    ..We conclude that estimating mutual information provides a natural (and often practical) way to equitably quantify statistical associations in large datasets. ..