Models of Gene Networks, 5 op

Tampereen yliopisto

Kuvaus
Suoritustavat

Opetusperiodit

Koodi

BBT.INT.811

Opetuskieli

englanti

Lukuvuodet

2021–2022, 2022–2023, 2023–2024

Opintojakson taso

Syventävät opinnot

Arvosteluasteikko

Yleinen asteikko, 0-5

Vastuuhenkilö

Vastuuopettaja:

Andre Sanches Ribeiro

Vastuuorganisaatio

Lääketieteen ja terveysteknologian tiedekunta 100 %

Järjestävä organisaatio

MET yhteinen koulutus 100 %

Core content

- Stochastic Modeling of Gene Networks, Older Models, Noise in Gene Expression, and the Stochastic Simulation Algorithm. Examples and Applications.
- Delays in Gene Expression. The Delayed Stochastic Simulation Algorithm. Examples and Applications.
- Stochastic Models of Gene Expression subject to regulation and coupling with other processes, including cell division and intake of external elements. Examples and Applications.
- Models of Small Genetic Circuits and external factors. Examples and Applications.
- Models of Coupled Genetic Circuits. Large genetic circuits, Boolean Networks, Attractors and Ergodic Sets. Examples and Applications.
- Single-gene Models at the Nucleotide Level. Supercoiling buildup. Examples of the models.

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Suoritustapa 1

a) Exercises (must complete at least 50% of exercise points. 80% gives bonus of 0.5). Exercises solutions can be delivered until the day preceding the next exercise lecture. b) Final exam (50% of the final grade). c) Project work (50% of the final grade). d) Short summary (1-5 lines) of the lecture, to be delivered at the end of each lecture. The grade of each summary is: PASS/FAIL. If 3 or more summaries have PASS grade, the student gets a bonus of 0.5 in the final grade. Additionally, a passing grade must be achieved in project, exam, and exercises in order to pass the course. Grading: 0 to 5 (0 fails, 1 to 5 passes). 2.5 from exam, 2.5 from project, 0.5 bonus for good performance in exercises, and 0.5 bonus for good performance lecture summaries.

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