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Bioinformatic Analysis Serives
Genome assembly
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Integrated WEB DB for Breeding
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XENOTYPE lnc.
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Target gene DB
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Bioinformatic Analysis Serives
Genome assembly
Structural variant
Population genomics
Molecular marker development
Gene profiling
Web DB integration
Genomic WEB DB
Comparative genomic WEB DB
Integrated WEB DB for Breeding
WEB DB LIST
PHENOTYPING
Technology Introduction
Case Studies
GENOTYPING
XENOTYPE lnc.
LED Lights for Plant Growth
Our Garden, PODZPODZ
Products
Signal transduction metabolic pathway check kit (Pathway Check Kit)
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Phylogenetic tree
In general, a phylogenetic tree is a diagram that shows the evolutionary relationships between species, providing a way to view the hierarchical structure of biological species. By using NGS data from a population of genetic resources to obtain SNP markers, you can build a phylogenetic tree to visually observe the relationships between genetic resources.
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PCA
Principal Components Analysis (PCA) is the most popular method used to detect, quantify, and identify differences between individuals in genetic structure. PCA can also be used to understand genetic diversity.
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Structure
Population structure is one of the most studied yet poorly understood areas of population genetics. Structure analysis uses SNP markers to examine genetic structure. It involves estimating distinct populations, assigning individuals to these populations, studying hybrid regions, and identifying migrating and admixed individuals. Structure analysis can be used to understand genetic diversity.
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DAPC(Discriminant Analysis of Principal Components)…
Discriminant Analysis of Principal Components (DAPC) is a useful method for detecting, quantifying, and identifying genetic structure and diversity among groups (populations) using principal component data. It is most effective for separating individuals into predefined groups because it focuses on between-group diversity while ignoring within-group diversity. DAPC analysis can be used to understand genetic diversity within and between populations.
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Linkage Disequilibrium
When genes are too close together to exhibit independent recombination, they appear to be more closely related than expected, a condition known as linkage disequilibrium (LD). LD is analyzed by calculating recombination using SNP markers that move with genes, determining the degree of linkage, and predicting the relative distance between genes. Based on LD analysis, linkage drag can be resolved. Once the location of a particular trait gene is roughly estimated, it can be experimentally…
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