--- _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' ...