Corpus ID: 17372365

From statistical mechanics to information theory: understanding biophysical information-processing systems

@inproceedings{Tkavcik2010FromSM,
  title={From statistical mechanics to information theory: understanding biophysical information-processing systems},
  author={Gavsper Tkavcik},
  year={2010}
}
  • Gavsper Tkavcik
  • Published 2010
  • Biology
  • These are notes for a set of 7 two-hour lectures given at the 2010 Summer School on Quantitative Evolutionary and Comparative Genomics at OIST, Okinawa, Japan. The emphasis is on understanding how biological systems process information. We take a physicist’s approach of looking for simple phenomenological descriptions that can address the questions of biological function without necessarily modeling all (mostly unknown) microscopic details; the example that is developed throughout the notes is… CONTINUE READING
    Information transmission in genetic regulatory networks: a review.
    • 136
    • PDF
    Letting the Brain Speak for Itself
    • 24
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 25 REFERENCES
    Intrinsic and extrinsic contributions to stochasticity in gene expression
    • 1,402
    • PDF
    Physical limits to biochemical signaling.
    • 323
    • PDF
    Optimizing information flow in small genetic networks.
    • 103
    • Highly Influential
    • PDF
    A stochastic spectral analysis of transcriptional regulatory cascades
    • 58
    • PDF
    Optimizing information flow in small genetic networks. II. Feed-forward interactions.
    • 66
    • PDF
    Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
    • 211
    • Highly Influential
    • PDF
    Information capacity of genetic regulatory elements.
    • 104
    • Highly Influential
    • PDF
    Information flow and optimization in transcriptional regulation
    • 199
    • Highly Influential
    • PDF