Group Evolution Analysis

Group Evolution Analysis

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As one of the group evolution analysis providers, CD Genomics uses bioinformatics to help you analyze the population information and reveal the process of population evolution quickly and accurately. Our unique data analysis skills can meet customers' personalized data analysis needs and provide the most easy-to-interpret data analysis reports.

Introduction of Group Evolution Analysis

Evolution is change in the heritable characteristics of biological populations over successive generations. Different characteristics tend to exist within any given population as a result of mutation, genetic recombination and other sources of genetic variation. Evolution occurs when evolutionary processes such as natural selection (including sexual selection) and genetic drift act on this variation, resulting in certain characteristics becoming more common or rare within a population. It is this process of evolution that has given rise to biodiversity at every level of biological organization, including the levels of species, individual organisms and molecules.

Group evolution analysis measures the genome information of each subgroup of a natural population of a species using whole genome re-sequencing or restriction-site associated DNA sequencing. By comparing with the reference genome, a large number of variation information such as SNP, InDel, SV, CNV and other variation information are obtained. Based on the population variation information, the biological problems such as population genetic structure, gene communication, species formation mechanism and population evolution dynamics are discussed. The evolution of the species from the molecular level can then be studied in-depth.

An example of phylogenetic tree. Fig 1. An example of phylogenetic tree. (Tine M; et al.2014)

We Can Help Our Clients With

1.Group adaptive evolution.
2.Domestication of plants and animals.

CD Genomics Analysis Pipeline

The type of original input data can be whole genome resequencing data or restriction-site associated DNA sequencing data.

CD Genomics Group Evolution Analysis Pipeline - CD Genomics.

What We Offer

The number of individual species sub-populations, the total number of samples and the depth of sequencing will affect the content of bioinformatics analysis.

Mutation detection

SNP, Indel, CNV and other mutation detection

Group structure analysis

Construct phylogenetic tree

PCA and genetic structure analysis

determine the evolutionary relationship between samples

Genetic diversity analysis

Estimation of population θπ polymorphism parameters

Estimation of population θw polymorphism parameters

Selective elimination analysis

Selective elimination during evolution of different groups

Gene function annotation and enrichment analysis

Calculate the distribution of candidate genes

Find functional genes related to traits

Population history analysis

Analysis the history of differentiation between sample branches

Gene communication analysis

Analysis of Gene Communication in the Process of Population Evolution

If you are interested in customized group evolution analysis, please feel free to contact us for details.

How It Works

CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.

How It Works

CD Genomics has successfully conducted group evolution analysis on a variety of animals and plants species, combined with rich project experience, professional project plan guidance and analysis process, to ensure that the project is carried out accurately and quickly. Please contact us for more information and a detailed quote.


  1. Tine M; et al. European sea bass genome and its variation provide insights into adaptation to euryhalinity and speciation. Nature Communications, 2014, 5:5770.
* For Research Use Only. Not for use in diagnostic procedures.
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