Prevent Analysis Variability by Using NGS-authenticated Microbial Genomes — Shift from Consensus to Discernible



The advancement and accessibility of next-generation sequencing (NGS) technologies have rapidly transformed microbiological research. To date, sequencing-based applications have relied on fully assembled reference genomes for bioinformatics analyses, particularly for variant calling in clinical microbiology. However, despite the availability of consensus-driven genome sequences in public databases, the quality, completeness, authenticity, accuracy, and traceability of genomic data are inadequate. The lack of standards for genomic data leads to potential errors as researchers attempt to interpret their genomic information and make impactful correlations.

As part of our Enhanced Authentication Initiative, ATCC addressed these underlying problems by implementing a robust NGS and genome assembly workflow to enrich the characterization of the biological materials in our collection. The result is authenticated ATCC biological materials paired with reference-quality microbial genomes with corresponding metadata that are now publicly available to the scientific community on the ATCC Genome Portal (

Key takeaways:

  • Understand the standardized process and quality control criteria required for growing, extracting, sequencing, and analyzing each reference-quality genome
  • Review the metadata provided on the ATCC Genome Portal to contextualize the data as it fits with your NGS workflow
  • Explore the features of the ATCC Genome Portal as well as the genomes available


Andrew Frank, MS

Andrew Frank, MS,
Bioinformatician, ATCC

Andrew Frank is a bioinformatician and key member leading ATCC’s Enhanced Authentication Initiative. He is responsible for sequencing and assembling whole bacterial genomes. In addition, Mr. Frank worked to design and implement the next-generation sequencing data management systems currently used by the ATCC Sequencing and Bioinformatics Center. Prior to joining ATCC, Mr. Frank received his master’s degree from the University of Connecticut, where his graduate research centered on detecting signatures of hybridization in eukaryotic genomes by using next-generation sequencing approaches and novel phylogenetic approaches.