Weighted UniFrac Analysis

What is Weighted UniFrac Analysis?

UniFrac analysis uses the evolutionary information between the sequence of each sample to compare whether environmental samples have significant differences in microbial communities in a specific evolutionary lineage. UniFrac can be used to evaluate and analyze the beta diversity, that is, to compare and analyze the samples to obtain the unifrac distance matrix between the samples. From the definition of UniFrac, it can be seen that it only considers whether the sequence appears in the community, and does not consider the abundance of the sequence. If the two communities contain exactly the same species, regardless of whether there is a difference in the abundance of each species or the magnitude of the difference, the UniFrac value is 0.

Overall solutions

CD ComputaBio offers the following services to meet the specific needs of different customers:

  • Multi-sample similarity tree analysis based on UniFrac

CD ComputaBio first use the Unifrac analysis method, the distance matrix obtained can be used in a variety of analysis methods, through the hierarchical clustering (Hierarchical cluatering) non-weighted group average method UPGMA to construct the evolutionary tree and other graphical visualization processing, which can visually display the microorganisms in different environmental samples Evolutionary similarities and differences.

  • PCoa analysis based on UniFrac

The distance matrix obtained by Unifrac analysis can be used in a variety of analysis methods. It can be analyzed by PCoA, a multivariate statistical method, to visually display the similarities and differences in the evolution of microorganisms in different environmental samples.

Software and algorithm

FastTree was used to build evolutionary trees according to the maximum likelihood method (approximately-maximum-likelihood phylogenetic trees).

Fastunifrac was used to analyze the distance matrix between samples.

Our advantages

  • Our research supervisor and project manager will complete your project on time through open communication channels and meet your requirements.
  • Our team works with scientists, quality assurance/quality control professionals and project managers from many pharmaceutical and biotechnology companies and organizations around the world, and has a wealth of knowledge and experience.
  • Professional after-sales service: A professional after-sales team is set up to provide customers with practical and feasible solutions efficiently and quickly.

Our services

Project name Weighted uniFrac analysis
Our services

CD ComputaBio offers the following services to meet the specific needs of different customers:

  • Multi-sample similarity tree analysis based on UniFrac
  • PCoa analysis based on UniFrac
Sample requirements Our Weighted UniFrac Analysis service requires you to provide specific requirements.
Screening cycle Decide according to your needs.
Deliverables We provide you with raw data and analysis service.
Price Inquiry

CD ComputaBio' weighted uniFrac analysis service can significantly reduce the cost and labor of the subsequent experiments. weighted uniFrac analysis service is a personalized and customized innovative scientific research service. Each project needs to be evaluated before the corresponding analysis plan and price can be determined. If you want to know more about service prices or technical details, please feel free to contact us.

Reference:

  1. Magali Noval Rivas, PhD, Oliver T. Burton, et al. A microbita signature associated with experimental food allergy promotes allergic senitization and anaphylaxis. The Journal of Allergy and Clinical Immunology. 2013:131(1) , 201-212.
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