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balu736 [363]
3 years ago
14

Why colloidal solution show tyndall effect

Biology
1 answer:
Masteriza [31]3 years ago
4 0
The effect is used to determine whether a mixure is a true solution or colloid
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WILL GIVE BRAINLIEST!!!!
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The main difference between Exponential growth and Logistic growth is that logistic growth takes into account carrying capacity. On a graph, logistic growth levels off as it nears carrying capacity while exponential growth does not.

Exponential growth involves a positive feedback loop and Logistic growth involves a negative one.

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Why crossing over is an important process for genetic variation
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This model shows the basic process of making a protein. What are the strengths and limitations of this model?
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Results

We systematically analyze and compare how different modelling methodologies can be used to describe translation. We define various statistically equivalent codon-based simulation algorithms and analyze the importance of the update rule in determining the steady state, an aspect often neglected. Then a novel probabilistic Boolean network (PBN) model is proposed for modelling translation, which enjoys an exact numerical solution. This solution matches those of numerical simulation from other methods and acts as a complementary tool to analytical approximations and simulations. The advantages and limitations of various codon-based models are compared, and illustrated by examples with real biological complexities such as slow codons, premature termination and feedback regulation. Our studies reveal that while different models gives broadly similiar trends in many cases, important differences also arise and can be clearly seen, in the dependence of the translation rate on different parameters. Furthermore, the update rule affects the steady state solution.

Conclusions

The codon-based models are based on different levels of abstraction. Our analysis suggests that a multiple model approach to understanding translation allows one to ascertain which aspects of the conclusions are robust with respect to the choice of modelling methodology, and when (and why) important differences may arise. This approach also allows for an optimal use of analysis tools, which is especially important when additional complexities or regulatory mechanisms are included. This approach can provide a robust platform for dissecting translation, and results in an improved predictive framework for applications in systems and synthetic biology.

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