---
_id: '3743'
abstract:
- lang: eng
text: 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 transcriptional regulation in genetic regulatory networks. We present
tools from information theory and statistical physics that can be used to analyze
noisy nonlinear biological networks, and build generative and predictive models
of regulatory processes.
author:
- first_name: Gasper
full_name: Gasper Tkacik
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Tkačik G. From statistical mechanics to information theory: understanding
biophysical information-processing systems. ArXiv. 2010;q-MN:1-52.'
apa: 'Tkačik, G. (2010). From statistical mechanics to information theory: understanding
biophysical information-processing systems. ArXiv. ArXiv.'
chicago: 'Tkačik, Gašper. “From Statistical Mechanics to Information Theory: Understanding
Biophysical Information-Processing Systems.” ArXiv. ArXiv, 2010.'
ieee: 'G. Tkačik, “From statistical mechanics to information theory: understanding
biophysical information-processing systems,” ArXiv, vol. q-MN. ArXiv, pp.
1–52, 2010.'
ista: 'Tkačik G. 2010. From statistical mechanics to information theory: understanding
biophysical information-processing systems. ArXiv, q-MN, 1–52, .'
mla: 'Tkačik, Gašper. “From Statistical Mechanics to Information Theory: Understanding
Biophysical Information-Processing Systems.” ArXiv, vol. q-MN, ArXiv, 2010,
pp. 1–52.'
short: G. Tkačik, ArXiv q-MN (2010) 1–52.
date_created: 2018-12-11T12:04:55Z
date_published: 2010-06-22T00:00:00Z
date_updated: 2021-01-12T07:51:53Z
day: '22'
extern: 1
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1006.4291v1
month: '06'
oa: 1
page: 1 - 52
publication: ArXiv
publication_status: published
publisher: ArXiv
publist_id: '2487'
quality_controlled: 0
status: public
title: 'From statistical mechanics to information theory: understanding biophysical
information-processing systems'
type: preprint
volume: q-bio.MN
year: '2010'
...