State-of-the-art computational and biostatistical analysis to advance translational research in medicine and biotechnology, from study design to publication-ready results.
Resphera is dedicated to the execution of complex studies in interdisciplinary team environments.
Computational analyses designed to directly address key scientific hypotheses.
Statistical results conveyed clearly to all interdisciplinary team members.
Publication-ready figures that make statistical findings immediately accessible.
Full version control of data and code for audit-ready, reproducible science.
From statistical modeling to tumor genomics and microbial communities, every analysis is tailored to the research question.
Rigorous statistical modeling and machine learning tailored to translational research questions.
Tumor genomics and immune profiling across a broad range of sequencing modalities.
End-to-end microbial community profiling, from amplicon sequencing to integrated multi-omics.
Examples of the analyses behind the publication-ready figures we deliver, illustrated here with synthetic data.
Illustrative data. No client data is shown.
Rapid sample identity verification across a broad range of assays, sequencing platforms, and file formats. Catch sample swaps before they reach your results.
Learn more 16S rRNA species-level taxonomyUltra-high-resolution taxonomic assignment for 16S rRNA sequencing data, resolving microbial communities to the species level.
Explore Resphera Insight Automated statisticsAn automated statistical analysis platform empowering researchers to answer critical questions and uncover valuable insights from their data.
Visit firstlookdata.comTraditional 16S classifiers typically stop at the genus level or lose accuracy beyond it. Resphera Insight is designed to provide accurate species-level context.
From a Resphera-led validation study profiling C. difficile burden from short 16S rRNA reads (error rate from simulations of 10,000 reads per species).
Re-analysis of existing datasets detected C. difficile in roughly 83–85% of active-infection cohorts versus ~8.5% of healthy controls, and mapped negative associations with protective species such as Clostridium scindens and Blautia.
Identified Lactobacillus gasseri/johnsonii enriched in the saliva of head and neck cancer patients, and tracked Fusobacterium nucleatum and low-abundance C. difficile in colorectal tumor biofilms.
Detects bacterial contaminants such as Salmonella enterica in food matrices ranging from low-diversity products like ice cream to complex botanicals like cilantro and chili powder.
Founder & Principal Analyst
James Robert White is founder and principal analyst at Resphera. He holds a PhD in Applied Mathematics and Scientific Computation from the University of Maryland, College Park.
View CVFor more information about Resphera, or to discuss a project, get in touch.
