Proteomics
Targeted Proteomics
Olink® Proximity Extension Assay (PEA)
Our team supports analysis of Olink® PEA data, providing sensitive and multiplexed protein quantification across key panels such as Target 96, Explore HT, and Reveal panels. Leveraging robust bioinformatics workflows, we deliver accurate biomarker discovery and comprehensive data interpretation tailored to your research goals.
SomaScan® (aptamer-based)
We offer specialized bioinformatics analysis for SomaScan® data, enabling high-throughput and sensitive profiling of up to 11,000 proteins. Our tailored workflows support in-depth interpretation to accelerate biomarker discovery and advance your research goals.
Multiplexed immunoassays
Our bioinformaticians deliver thorough statistical analysis of multiplexed immunoassay data, ensuring accurate quantification and consistent comparison across sample groups. This enables reliable biomarker validation and meaningful biological interpretation.
Untargeted MS-based Proteomics
Protein/peptide identification
We provide accurate identification of proteins and peptides from untargeted Mass Spectrometry data. Leveraging advanced bioinformatics pipelines and curated reference databases, our approach ensures high-confidence results suitable for a wide range of biological and biomedical applications
Quantification
We deliver reliable protein and peptide quantification from untargeted Mass Spectrometry data, using robust statistical and computational methods for accurate comparison across complex samples.
Differential protein expression
We perform differential protein expression analysis to identify significant changes in protein abundance across experimental conditions. This approach supports biomarker discovery, functional annotation, and a deeper understanding of underlying biological mechanisms.
Functional Proteomics
Protein-protein interaction networks
At Sycomia, we analyze protein-protein interaction networks derived from proteomics data to uncover essential functional relationships and regulatory pathways. Our approach helps decode complex biological systems and provides insights into cellular mechanisms.
Domain/motif annotation
Sycomia’s bioinformatics expertise enables precise annotation of protein domains and motifs, offering valuable insights into protein function, structure, and interaction capabilities. This detailed annotation supports better understanding of protein roles in biological processes and aids in identifying potential targets for further research.
Functional enrichment (GO, KEGG)
We perform comprehensive functional enrichment analysis using GO and KEGG databases to identify biological pathways and processes significantly represented in your proteomics data. This approach highlights key functional themes and aids in the interpretation of complex datasets.
Multi-omics Proteomics Integration
Correlation with RNA expression
We integrate proteomics data with transcriptomics to uncover multi-layered biological insights. Correlating protein abundance with RNA expression reveals regulatory mechanisms and enhances biomarker discovery.
Pathway & network inference
We leverage advanced bioinformatics to infer biological pathways and interaction networks from your proteomics data, uncovering key molecular mechanisms and system-level insights.
Machine learning-based stratification
Our team applies cutting-edge machine learning algorithms to stratify samples based on proteomics data, enabling precise classification, subgroup discovery, and personalized insights.