We’ve added to ERGO’s rich suite of tools and workflows for 16S amplicon sequencing studies to include functional metagenome prediction utilizing Picrust2.

Do the differences you see on the ordination plot represent a significant difference? This is one of the key questions researchers ask themselves. One way to determine significance is permutational multivariate analysis of variance (PERMANOVA), a statistical test commonly used in ecology settings [1]. ERGO uses the 'adonis' function in the R package vegan which provides functions for the analysis of ecology [2].

Non-metric dimensional scaling attempts to closely represent pairwise dissimilarity between samples. It is a robust unconstrained ordination method that uses rank orders commonly used in ecology studies. Unlike many other ordination techniques NMDS iterates to find a solution that fits with an optimal stress value to the number of chosen dimensions. ERGO gives you a simple interface to choose the number of attempts, dimensions, along with an option to specify a previous best stress.

Data mining and visualization just got easier in ERGO’s newest microbiome analysis update.

ERGO’s [Overbeek et. all 2003] rich suite of tools and workflows to examine amplicon and metagenome sequencing now includes Linear Discriminate Analysis using LEfSe [Segata et. al 2010]. In ERGO, LEfSe (Linear discriminate analysis Effect Size) enables researchers to discover biomarkers that most likely explain the differences between selected experimental groups.

Easily analyze your metagenome projects using ERGO by dragging and dropping your BIOM file into ERGO.