Steven B Haase

Summary

Affiliation: The Scripps Research Institute
Country: USA

Publications

  1. ncbi request reprint Improved flow cytometric analysis of the budding yeast cell cycle
    Steven B Haase
    Department of Molecular Biology, MB7 The Scripps Research Institute La Jolla, California 92037, USA
    Cell Cycle 1:132-6. 2002
  2. ncbi request reprint Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data
    Anastasia Deckard
    Program in Computational Biology and Bioinformatics, Department of Mathematics, Duke University, Durham, NC 27708, USA, Department of Medicine, Department of Pharmacology, Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA and Department of Biology, Duke University, Durham, NC 27708, USA
    Bioinformatics 29:3174-80. 2013
  3. ncbi request reprint A probabilistic model for cell cycle distributions in synchrony experiments
    David A Orlando
    Department of Biology, Duke University, Durham, North Carolina, USA
    Cell Cycle 6:478-88. 2007
  4. pmc Global control of cell-cycle transcription by coupled CDK and network oscillators
    David A Orlando
    Department of Biology, Duke University, Durham, North Carolina 27708, USA
    Nature 453:944-7. 2008
  5. ncbi request reprint Transcription networks and cyclin/CDKs: the yin and yang of cell cycle oscillators
    Laura A Simmons Kovacs
    Department of Biology, Duke University, Durham, North Carolina 27708, USA
    Cell Cycle 7:2626-9. 2008

Collaborators

Detail Information

Publications5

  1. ncbi request reprint Improved flow cytometric analysis of the budding yeast cell cycle
    Steven B Haase
    Department of Molecular Biology, MB7 The Scripps Research Institute La Jolla, California 92037, USA
    Cell Cycle 1:132-6. 2002
    ....
  2. ncbi request reprint Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data
    Anastasia Deckard
    Program in Computational Biology and Bioinformatics, Department of Mathematics, Duke University, Durham, NC 27708, USA, Department of Medicine, Department of Pharmacology, Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA and Department of Biology, Duke University, Durham, NC 27708, USA
    Bioinformatics 29:3174-80. 2013
    ....
  3. ncbi request reprint A probabilistic model for cell cycle distributions in synchrony experiments
    David A Orlando
    Department of Biology, Duke University, Durham, North Carolina, USA
    Cell Cycle 6:478-88. 2007
    ..To indicate its broad applicability, we show that the model can be used to compare global periodic transcription data sets from different organisms: S. cerevisiae and S. pombe...
  4. pmc Global control of cell-cycle transcription by coupled CDK and network oscillators
    David A Orlando
    Department of Biology, Duke University, Durham, North Carolina 27708, USA
    Nature 453:944-7. 2008
    ..We propose that periodic transcription is an emergent property of a transcription factor network that can function as a cell-cycle oscillator independently of, and in tandem with, the CDK oscillator...
  5. ncbi request reprint Transcription networks and cyclin/CDKs: the yin and yang of cell cycle oscillators
    Laura A Simmons Kovacs
    Department of Biology, Duke University, Durham, North Carolina 27708, USA
    Cell Cycle 7:2626-9. 2008
    ..Finally, we consider how the transcription network oscillator collaborates with CDKs and checkpoint mechanisms to control the ordered events of the cell cycle...