Dalton Bioanalytics
Dalton Bioanalytics is dedicated to accelerating the world's transition to preventative healthcare through comprehensive biochemical analysis. They offer advanced multi-omics, lipidomics, transcriptomics, proteomics, and metabolomics services utilizing cutting-edge mass spectrometry and bioinformatics. Their mission is to provide deep insights into biological systems, enabling breakthroughs in drug discovery, biomarker development, disease research, and personalized medicine.
Industries
Nr. of Employees
small (1-50)
Dalton Bioanalytics
Products
Proteomics Services
Comprehensive precision proteomics services leveraging advanced mass spectrometry and robust bioinformatics to unlock the entire protein landscape, accelerating next-generation therapeutics and drug development.
TMT Proteomics Analysis Services
Advanced quantitative proteomics service utilizing Tandem Mass Tag (TMT) technology to identify and measure protein expression across multiple samples simultaneously with high sensitivity and accuracy.
Multi-Omics Biomarker Discovery Services
Multi-omics biomarker discovery service measuring multiple molecular classes including proteins, metabolites, lipids, and electrolytes from a single sample using the Omni-MS platform.
Multiomics Services
Innovative single-run assay service allowing for comprehensive analysis of proteomics, metabolomics, and lipidomics in one efficient process.
Omni-MS® Platform
A research tool and LC-MS-based platform designed to capture practically relevant classes of molecules including proteins, metabolites, lipids, drugs, medications, and environmentally derived small molecules for multi-omics biochemistry analysis.
Omics Data Analysis & Bioinformatics Services
Comprehensive bioinformatics and data analysis services specialized in dissecting vast datasets generated from proteomics, metabolomics, lipidomics, and transcriptomics experiments.
Proteomics Services
Comprehensive precision proteomics services leveraging advanced mass spectrometry and robust bioinformatics to unlock the entire protein landscape, accelerating next-generation therapeutics and drug development.
TMT Proteomics Analysis Services
Advanced quantitative proteomics service utilizing Tandem Mass Tag (TMT) technology to identify and measure protein expression across multiple samples simultaneously with high sensitivity and accuracy.
Multi-Omics Biomarker Discovery Services
Multi-omics biomarker discovery service measuring multiple molecular classes including proteins, metabolites, lipids, and electrolytes from a single sample using the Omni-MS platform.
Multiomics Services
Innovative single-run assay service allowing for comprehensive analysis of proteomics, metabolomics, and lipidomics in one efficient process.
Omni-MS® Platform
A research tool and LC-MS-based platform designed to capture practically relevant classes of molecules including proteins, metabolites, lipids, drugs, medications, and environmentally derived small molecules for multi-omics biochemistry analysis.
Omics Data Analysis & Bioinformatics Services
Comprehensive bioinformatics and data analysis services specialized in dissecting vast datasets generated from proteomics, metabolomics, lipidomics, and transcriptomics experiments.
Services
Integrated one-shot assay capturing proteomic, metabolomic and lipidomic information plus small molecules from a single sample, coupled with downstream bioinformatics and reporting.
Comprehensive lipid identification and quantification with LC-MS/MS, database-driven annotation and pathway-level bioinformatic analysis.
Untargeted metabolite discovery and targeted metabolite panels, including metabolic flux experiments and pathway-focused bioinformatics.
End-to-end proteomics including discovery shotgun workflows, DIA, targeted quantification (SRM/MRM/PRM), post-translational modification analysis, enrichment strategies for low-abundance targets, and isobaric tag multiplexed quantification with optimized labeling workflows.
Full-service transcriptome profiling including standard RNA-seq, small RNA sequencing and long-read isoform sequencing with tailored protocols for degraded or low-input samples.
Computational support covering QC, alignment/calibration, differential analysis, multivariate statistics, pathway enrichment and multi-omics integration with visualization and reporting.
Integrated one-shot assay capturing proteomic, metabolomic and lipidomic information plus small molecules from a single sample, coupled with downstream bioinformatics and reporting.
Comprehensive lipid identification and quantification with LC-MS/MS, database-driven annotation and pathway-level bioinformatic analysis.
Untargeted metabolite discovery and targeted metabolite panels, including metabolic flux experiments and pathway-focused bioinformatics.
End-to-end proteomics including discovery shotgun workflows, DIA, targeted quantification (SRM/MRM/PRM), post-translational modification analysis, enrichment strategies for low-abundance targets, and isobaric tag multiplexed quantification with optimized labeling workflows.
Full-service transcriptome profiling including standard RNA-seq, small RNA sequencing and long-read isoform sequencing with tailored protocols for degraded or low-input samples.
Computational support covering QC, alignment/calibration, differential analysis, multivariate statistics, pathway enrichment and multi-omics integration with visualization and reporting.
Expertise Areas
- Multi-omics analysis (integrated proteomics, metabolomics, lipidomics)
- Quantitative and discovery proteomics (DIA, targeted workflows)
- Isobaric tag multiplexed proteomics and labeling optimization
- Post-translational modification mapping and enrichment workflows
Key Technologies
- Liquid chromatography–mass spectrometry (LC-MS/MS)
- High-resolution mass spectrometry (HRMS)
- Isobaric tag multiplexing for quantitative proteomics
- Data-independent acquisition (DIA)
News & Updates
A study by Wang et al., published in Science Translational Medicine, introduces a plasma lipidomics and machine learning approach for early-stage lung cancer detection.
Research on how proteomics and lipidomics are transforming atherosclerotic cardiovascular disease risk prediction.
Heatmap visualization of multi-omics data including lipidomics, metabolomics, proteomics, and transcriptomics for disease research and biomarker discovery.
A study by Wang et al., published in Science Translational Medicine, introduces a plasma lipidomics and machine learning approach for early-stage lung cancer detection.
Research on how proteomics and lipidomics are transforming atherosclerotic cardiovascular disease risk prediction.
Heatmap visualization of multi-omics data including lipidomics, metabolomics, proteomics, and transcriptomics for disease research and biomarker discovery.