Through microbial difference analysis, it is possible to detect differences in abundance in various microbial communities, reflect the degree of difference between samples, and find different species. Meanwhile, with the help of the analysis of the differences in the composition of microbial communities in two or more environments, we can analyze the relationship between microbes and environmental factors or hosts, and search for the signature flora or genes with specific functions. The differential analysis services of Creative Biogene include the following, they are principal component analysis, principal coordinate analysis, UniFrac analysis, NMDS analysis and DAFs analysis.
Principal component analysis (PCA) is a visualization method for studying the similarity or difference of data. By analyzing the composition of OTU of different samples, the differences and distances between samples can be reflected. PCA uses variance decomposition to reflect the differences of multiple sets of data on the two-dimensional coordinate graph.
Principal coordinate analysis (PCoA) is a visualization method to study the similarity or difference of data. Differences between individuals or groups can be observed through PCoA. PCoA is similar to PCA. The main difference is that PCA is based on Euclidean distance, but PCoA is based on distances other than Euclidean distance.
UniFrac analysis uses the evolutionary information between each sample sequence to compare whether environmental samples have significant differences in microbial communities in a specific evolutionary lineage. UniFrac can be applied to the evaluation and analysis of beta diversity.
Nonmetric multidimensional scaling (NMDS) analysis is a data analysis method that reduces research objects in multidimensional space to low-dimensional space for positioning, analysis and classification, while retaining the original relationship among objects. NMDS analysis is often used to compare the differences between sample groups.
Differentially abundant features (DAFs) analysis will use rigorous statistical methods to detect the differences in the abundance of the two microbial communities groups based on the obtained community abundance data. The analysis can choose to enter different taxonomic levels such as phylum, class, order, family and genera.
Analytical tools used in our difference analysis service include PC-ORD, CANOCO, Qiime, FastTree, Fastunifrac, Metastats, R language tools, as well as other related tools.
Creative Biogene has many years of experience in microbial bioinformatics analysis. Our team is composed of professional scientists, researchers and technicians. We can not only provide customers with standardized analysis content that has undergone rigorous testing and evaluation, but also can provide a full range of personalized customized analysis services according to the customer's project requirements. For more discounts, more surprises, we are look forward to your selection!
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