Metagenomics is a strategy to study the through genomic information of all tiny biological genetic material in the environment. It avoid culturing the microbe in the samples, provide a method to study microbes that can’t be cultured, more truly react the component and interaction of microbes in the samples, and we can study it’s metabolic pathway and gene function in molecule level. and is widely used in the field of microbiology. 

Scheme design → Sample processing → Library construction & sequencing → Data analysis → After-sales service 

Cluster heat map of gene abundance

Data from the relative abundance table of different classification levels. Select the abundance information   in genus level to draw the heat map, and carry out clustering  in species level to facilitate the result display and information discovery, thus finding out which species are highly cluster in the sample.

Anosim analysis in  gate level 

As a nonparametric test, Anosim analysis is used to test whether the differences between groups are significantly greater than that within groups, thus judging whether grouping is meaningful.

Cladogram of  LEfSe analysis

In order to screen biomarkers with significant differences among groups, firstly, the rank sum test is used to detect the different species among different groups, and LDA (Linear Discriminant Analysis) is used to reduce dimension and get LDA score.LEfSe results include three parts: the histogram of LDA scores, the cladogram and abundance heatmap of biomarkers with statistical differences among groups.