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 tools help scientists in the biotechnology, agriculture, and pharmaceutical industries understand and design the underlying biology leading to new products faster.
Easily analyze your metagenome projects using ERGO by dragging and dropping your BIOM file into ERGO. Compute the Principal Coordinates Analysis (PCoA), Richness Estimates, and Taxonomic Bar Charts at a click of a button. In addition, ERGO computes Analysis of Similarities (ANOSIM) to test the significance of group differences.
Simple, Fast, and Secure sequence analysis.
ERGO Workflows could not be easier - simply drag and drop your sequence files into ERGO and start your analyzing. There is no simpler way to perform RNA-Seq and Variant analysis.
ERGO is the premier annotation platform, providing scientists and researchers with deep insight into their strains. Using a combination of proprietary algorithms, sequence similarity, gene context clustering, regulatory and expression data ERGO can deduce the core functionality of prokaryotic and eukaryotic genomes.
Visualize genomes by functional systems or subsystems and understand the distribution of metabolic and non-metabolic pathways. Powerful visualizations facilitate not only genome sequence comparison but also metabolic comparison for greater understanding of genome plasticity, gene displacement and orthologous displacements.
Integrate your expression data with ERGO to Identify differentially expressed genes from RNA-Seq, cDNA, EST, Microarray, and other expression studies. ERGO automatically performs statistical analysis presenting the differentially expressed genes in their metabolic context. Visualize your expression data on KEGG pathway maps. No knowledge of statistical techniques or tools are necessary.
ERGO 2.0 tools enable scientists to explore strain differences. Utilizing our publication proven Genome Align tool scientists are able to visually explore differences. Comparative protein clustering tools enhance identification of common and unique clusters or ORFs, highlighting features that could be used in generating primers for expression studies containing groups of organisms.