Metagenome and Amplicon Sequence Analysis for Microbiome and other studies built directly into ERGO
Quickly and accurately identify taxa present in your samples
ERGO’s amplicon sequence analysis workflows use the latest techniques such as ‘denoising’ and machine learning to quickly and accurately identify taxa in your samples - often down to the species level.
After taxa are identified in ERGO 2.0 - use ERGO’s statistical tools such as Analysis of Similarity (ANOSIM), Alpha-Diversity, Principal Coordinate Analysis (PCoA) enrich your understanding.
Dive deep and discover something new about your samples with ERGO’s easy-to-use tools and visualizations.
Already have a completed OTU table? Import and export standard file formats such as OTU Tables, BIOM, Excel, CSV, FASTQ, and others.
Ready to show others your results? Customize, annotate and perfect publication-ready plots.
Features:
Quality analytics of sequence reads
State of the art sample processing using academically-proven tools such as DADA2 that works on all sequencing platforms such as Illumina & Pacific Biosciences. Oxford Nanopore coming soon.
Fast and accurate taxa identification using state-of-the-art machine learning algorithms that can identify taxa down to the species level.
Supports public databases (such as Silva, Greengenes, and others) and private custom databases.
Easy-to-use statistical tools such as Linear Discriminant Analysis (LDA), Analysis of Similarity, Alpha-Diversity/Richness, Principal Coordinates Analysis using well-cited R packages such a Phyloseq & vegan.
Interactive and customizable publication-ready charts and plots.
Interactive Phylogenetic Trees