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1

Your intuitions all seem correct. Coalescent simulation should be faster, because you don't track the entire population history over all t generations as you do in the forward simulation. Rather, as you work backwards in time you are tracking a smaller and small population. And with coalescent simulations it is probably very hard to incorporate the full ...


2

I've worked on a couple of these for biofuel production. The answer varies widely according to plant P and how well studied plant P is. In terms of what data is used, it includes but is not limited to: temperature, insolation, length of the day, cloud cover, rain, soil composition, soil type, soil density, other local effects like wind or pests, altitude, ...


2

Here there are a couple that I own: The "classic" from Uri Alon touches many of the topics you mention. It is easy to read and goes relatively deep into the methods. There seems to be a new edition (if you search it in Amazon it will pop up), but it was planned for last year's April and then delayed so no so clear when will be actually published. For the ...


5

These kind of equations (the Michaelis-Menten [MM] like term) denote saturation kinetics. The basic mechanistic assumption behind saturation kinetics is this: A rate (of lets say product formation) is dependent on the concentration of a molecule such that the rate increases linearly with increase in the concentration of the molecule. Example 1: Substrate ...



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