Accelerate your research
ERGO 2.0 provides a systems biology informatics toolkit centered on comparative genomics to capture, query, and visualize sequenced genomes. Using Igenbio's proprietary algorithms, and the most comprehensive genomic database integrated with the largest collection of microbial metabolic and non-metabolic pathways, ERGO™ assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways, and gene products.
ERGO 2.0’s hand-curated content combined with cutting edge genomics and bioinformatics tools help scientists in the biotechnology, agriculture, and pharmaceutical industries understand and design the underlying biology leading to new products faster.
ERGO Features
Proven scientific results with ERGO.
ERGO has been cited hundreds of times from researchers all over the world.
ERGO is used by scientists worldwide.
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.
We’ve added to ERGO’s rich visualizations with a new plot type: the violin plot. A violin plot is a way to visualize an underlying distribution of values (in our case, log fold change). Similar in utility to a box plot, a violin plot has a few advantages. Instead of just representing the median, quartiles, minimum and maximum, a violin plot uses a kernel density estimation algorithm to visualize the distribution of underlying points.
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.
Flyers and Info Sheets
Includes KEGGTM pathway/genome databases under license from Pathway Solutions, Inc.