- an ideal bioinformatics course should contain the basic 'traditional' algorithms, along with new AI-based ones. AI-based algorithms are cool and modern and would drive the interest of students, who are likely also interested in opportunities outside academia
- it should be hands-on, providing the students with code to build on for their studies;
- it should put them in the condition to be able to modify the code and understand it
- consider the language problem: should the course focus on R or python, or be code agnostic?
- genetics and genomics
- structural bioinformatics and drug-discovery
- database
- AI
- systems biology
- systems biology alon Uri Alon lab course book sys biol systems medicine course book sys medicine
- Quantitative biology
- David MacKay book information theory
- biophysics topics (Bialek)
- the molecular switch
- Milo Cell biology by the number
- physics biology of the cell
- Andrew Gelman books
- rshamir course TAU, workshop on genome analysis How to spice up your bioinformatics skill set with AI
- corso universita ha-ptucha articolo themarker
- bauman corso online
- youtube very basic high-school course
It's hard to find a "modern" text that includes AI-based algrithms; moreover, presenting AI tools would require a general introduction to machine learning tools
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Bioinformatics for biologists (2011) multiple authors for the different chatpers
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Lesk
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a primer for comp biol python+R programming
- technion biology ביואינפורמטיקה וביולוגיה מערכתית
- compeau interesting notes about innovative ways of teaching
- Shamir new Shamir (TAU)
- TAU computer sciences
- The Yandex Initiative for Machine Learning