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Genetic Interaction Network Analysis

Genetic interaction network

The genetic interaction network represents the functional interaction between gene pairs in an organism and is useful for understanding the relationship between genotype and phenotype. Most genes do not encode a specific phenotype. On the contrary, phenotype is usually caused by the interaction between several genes. The interaction between genetic variations and environmental conditions may play a major role in determining the phenotype produced by a given genotype. Genetic interaction networks help understand genetic interactions by identifying the interactions between gene pairs. Since genetic interactions provide insights into how genotypes are linked to phenotypes in organisms, improving understanding of human genetic interactions can provide key insights into complex diseases.

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Genetic interaction network analysis

In biological systems, genetic interaction refers to the phenomenon that the phenotype of two genes mutated at the same time is different from the superimposed effect of their respective mutation phenotypes. The genetic interaction network is used to study how genes interact together to affect a certain phenotype. It is an important way to understand the structure and function of biological pathways, the evolutionary laws of biological systems, and to study complex diseases. CD ComputaBio has many years of experience in the research of genetic interaction network. The genetic network research services provided by CD ComputaBio can help you gain in-depth understanding of the characteristics of genetic interaction networks, the general characteristics of genetic interaction networks and their relationship with protein-protein interaction networks and other biological information. It is possible to infer genetic interaction networks in organisms (such as humans) that humans do not possess. The genetic interaction network can be determined directly. We can provide you with the following service but not limited to:

  • Topological structure of genetic interaction network
  • How genetic interaction networks provide information about gene function
  • Characteristics of genetic evolutionary networks.

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Project name Genetic interaction network analysis
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  • Topological structure of genetic interaction network
  • How genetic interaction networks provide information about gene function
  • Characteristics of genetic evolutionary networks.
Cycle Depends on the time you need to simulate and the time required for the system to reach equilibrium.
Product delivery mode The simulation results provide you with the raw data and analysis results of molecular dynamics.
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The study of how genes interact to affect a certain phenotype through genetic interaction networks is an important way to understand the structure and function of biological pathways, the evolutionary laws of biological systems, and to study complex diseases. CD ComputaBio provides corresponding professional genetic interaction network analysis services. Our genetic interaction network analysis service has proven to be very useful for understanding the biochemical basis of physiological events at different stages of drug development (even in different fields such as materials science). The CD ComputaBio team has worked in this field for more than a decade and published his findings in top scientific journals. If you need network analysis services, please feel free to contact us.

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