Our Technology

We are introducing technologies to dramatically improve the breadth, accuracy, and speed of microbe detection by Next Generation Sequencing

IDbyDNA Sample-to-Report Clinical Metagenomics Solution

Offering best-in-class accuracy, quality control, and optimized laboratory workflow

IDbyDNA offers a comprehensive technology suite that enables laboratories to provide CLIA validated, accurate, rapid, and unbiased NGS-based testing for infectious diseases. From sample preparation to report delivery our technology suite manages laboratory workflow, analyzes metagenomics data utilizing our break-through Taxonomer powered software, and provides applications for clinical review, quality control and reporting.

Enabling accurate & actionable results

  • Curated DNA and RNA pathogen sequence databases for viruses, bacteria and fungi
  • Validated cutoffs and reporting criteria
  • Semi-quantitative results, and expert result review to enable discovery

Assuring high quality with validated controls

  • Internal controls for sample adequacy
  • Matrix-matched negative controls
  • Validated QC criteria to ensure consistent results

Simplifying complex work flows

  • Workflow manager to reduce errors
  • Positive process controls


An ultra-fast and interactive metagenomics analysis software for research only setting

Taxonomer is an ultra-fast and interactive metagenomics analysis software that dramatically improves the accuracy and speed of universal microbe detection by Next Generation Sequencing (NGS).


  • Enables universal, real-time detection of viruses, bacteria, and fungi through an easy-to-use web interface.
  • Provides the largest curated bacterial, viral and fungal databases for NGS data.
  • More sensitive, and more accurate, and faster than comparable tools.
  • Improves detection by providing superior taxonomic classification for every sequencing read.
  • Supported by the reference database through both, nucleic acid and protein-based classification.
  • Provides host mRNA expression profiles with RNA-seq data.
  • Highly tolerant to sequencing errors.