What
we
do 
OmicEra offers cutting-edge MS-based proteome analyses of human samples: ranging from plasma, CSF or urine to any type of FFPE and frozen tissue collection. Powered by innovative AI technology, our results maximize the insight from samples. This helps our clients to improve their research pipelines and discover more reliable and valuable biomarkers.
What
we do
OmicEra offers cutting-edge MS-based proteome analyses of human samples: ranging from plasma, CSF or urine to any type of FFPE and frozen tissue collection. Powered by innovative AI technology, our results maximize the insight from samples. This helps our clients to improve their research pipelines and discover more reliable and valuable biomarkers.
Samples /
Cohorts
All types of human samples can be analyzed with OmicEra’s proteomics pipeline, including cohorts of hundreds or thousands of plasma/serum, CSF and urine samples, isolated cells and formalin-fixed paraffin-embedded (FFPE) or fresh frozen tissues.
Sample
preparation
Robotic sample preparation enables scalability and high reproducibility of protein extraction, denaturation, enzymatic digestion to peptides and purification. Complete automation further allows trackability of samples throughout OmicEra’s pipeline.
LC-MS / MS
The peptide mixture from each sample is separated by an ultra-robust liquid chromatography (LC) system and then analysed with a cutting-edge mass spectrometer. The large volumes of raw data generated contain information of mass-to-charge ratios (m/z) and signal intensities of hundreds of thousands of ions.
Spectra interpretation
Peptide quantification
Our high-end software pipeline includes novel AI-powered database search engines and optimized quantification algorithms. As a result, the raw data are converted to quantitative peptide and protein information.
Data analysis
The quantitative protein information is subjected to OmicEra´s next generation bioinformatics pipeline that is based on both Open Source and proprietary tools, including robust statistical analysis, the latest machine learning algorithms and a clinical graph database for maximized information extraction.
Samples /
Cohorts
All types of human samples can be analyzed with OmicEra’s proteomics pipeline, including cohorts of hundreds or thousands of plasma/serum, CSF and urine samples, isolated cells and formalin-fixed paraffin-embedded (FFPE) or fresh frozen tissues.
Sample
preparation
Robotic sample preparation enables scalability and high reproducibility of protein extraction, denaturation, enzymatic digestion to peptides and purification. Complete automation further allows trackability of samples throughout OmicEra’s pipeline.
LC-MS / MS
The peptide mixture from each sample is separated by an ultra-robust liquid chromatography (LC) system and then analysed with a cutting-edge mass spectrometer. The large volumes of raw data generated contain information of mass-to-charge ratios (m/z) and signal intensities of hundreds of thousands of ions.
Spectra interpretation Peptide quantification
Our high-end software pipeline includes novel AI-powered database search engines and optimized quantification algorithms. As a result, the raw data are converted to quantitative peptide and protein information.
Data analysis
The quantitative protein information is subjected to OmicEra´s next generation bioinformatics pipeline that is based on both Open Source and proprietary tools, including robust statistical analysis, the latest machine learning algorithms and a clinical graph database for maximized information extraction.
You
and
us 
Serving a selected group of customers, OmicEra can process large sample numbers and provide deep proteome profiling in both targeted and untargeted analyses. Our clients are mainly pharma/biotech companies and clinical centers but we also often collaborate with academic researchers.
Partner with us
You
and us
Serving a selected group of customers, OmicEra can process large sample numbers and provide deep proteome profiling in both targeted and untargeted analyses. Our clients are mainly pharma/biotech companies and clinical centers but we also often collaborate with academic researchers.
Partner with us