Pathogens. Understood.^™

Pathogen genomics is the use of DNA and RNA sequencing to understand infectious organisms, including bacteria, viruses, fungi, and parasites. By analyzing genomic data, laboratories can identify outbreaks, track transmission, detect emerging variants, and support public health decision-making.

Pathogen genomics provides a level of detail that traditional laboratory methods cannot match. It helps organizations determine how pathogens are related, monitor antimicrobial resistance, identify transmission pathways, and improve outbreak response and public health bioinformatics programs.

Genomic sequencing reveals genetic relationships among pathogens that are not visible through conventional testing. This allows laboratories and public health agencies to identify outbreaks earlier, understand transmission dynamics, and make more informed decisions using standardized public health genomic pipelines.

Pathogen genomics is used by public health laboratories, federal agencies, commercial reference laboratories, hospital and health systems, food and water safety organizations, and academic and research institutions.

Theiagen combines microbiology, bioinformatics, epidemiology, and software systems to help organizations build sustainable pathogen genomics capabilities rather than isolated tools.

Theiagen specializes in pathogen genomics and pairs scientific depth with operational implementation, transparent workflows, training, and ongoing expert support.

Sequencing equipment alone does not create a successful pathogen genomics program. Effective programs require NGS pipeline automation, bioinformatics workflows, data interpretation, quality systems, and trained personnel who can translate genomic information into decisions and actions.

The phrase reflects Theiagen’s approach of helping organizations transform complex genomic data into clear, defensible, and actionable answers for surveillance, outbreak response, and public health decision-making.

NGS pipeline automation uses standardized, reproducible workflows to process raw sequencing data with minimal manual intervention. Automated pipelines reduce errors, improve throughput, and make genomic programs more scalable and sustainable.

Cloud-based genomic analysis uses scalable cloud computing infrastructure to process, store, and interpret genomic sequencing data. It supports collaboration, large-scale surveillance, and rapid scaling during outbreak response.

Genomic data security and compliance are built into engagements from the outset, including alignment with applicable regulatory frameworks, data governance, IP protection, and secure cloud or on-premises infrastructure configuration.

Yes. Theiagen’s workflows are built on open-source bioinformatics tools including Nextflow, WDL, and publicly available pipeline frameworks wherever appropriate, supporting transparency, reproducibility, interoperability, and practical reuse across public health and laboratory environments.

Unlike generalist bioinformatics consulting firms, Theiagen specializes in pathogen genomics and combines microbiology, bioinformatics, epidemiology, and software systems under one engagement.