Multi-omics Services

Proteome + Transcriptome Correlation Analysis

Using a multi-omics approach to correlate transcriptomics with proteomics data provides a more comprehensive overview of expression patterns and enables researchers to interpret deeper biological implications.

Quantitative proteome + Phosphoproteome Correlation Analysis

Protein is the main executor of life activities, and protein phosphorylation is one of the most basic modification types. A protein function panorama and precise positioning of the leading regulatory role for interpretation of molecular mechanism can be obtained with BGI’s expert quantitative proteomics and phosphoproteomics correlation analysis. Innomics provides quantitative proteomics and phosphoproteomics correlation analysis spanning across disease biomarkers research, growth and development research, regulation mechanism research of life activities, and drug target research.

Metabolome + Metagenome/16S Correlation Analysis

Metagenome/16S + metabolome correlation analysis enables researchers to establish a correlation model between host metabolism and gut microbiota and explore the causal relationships between microbes and disease.

Metabolome + Transcriptome/Proteome Correlation Analysis

Correlation analysis of metabolome and transcriptome/proteome can simultaneously explore biological problems from the two levels of "cause" and "effect", mutually verified, and screen out key genes, proteins, metabolites and metabolic pathways, which enables researchers to in-depth follow-up research and applications to fully understand the regulatory mechanism of biological systems.

Metabolome + Genome Re-sequencing Correlation Analysis

Metabolomics, based on high-throughput mass spectrometry, can decompose a small number of macroscopic phenotypes into metabolic molecular phenotypes, and find significantly associated metabolic indicators and gene variants through mGWAS, which can more directly reveal the molecular mechanism behind macroscopic phenotypes such as diseases.

Dr. Tom Data Visualization Solution

Dr. Tom multi-omics data mining system is a web-based solution for convenient analysis, visualisation and interpretation of bulk RNA-Seq data including mRNA, miRNA and lncRNA, single cell RNA-Seq data, WGBS data, metagenomics data, protein quantification data and metabolomis data.