Bioinformatics & Research Analytics Services

Transform complex multi-omics datasets into actionable biological insights through integrated bioinformatics, statistical analysis, biomarker discovery, and data visualization services. IMCO supports Olink proteomics, CycIF spatial biology, Mass cytometry, genomics, and translational research programs with end-to-end analytical expertise.

Radar chart illustrating immune cell populations, including CD8+ T cells, Tregs, Th1-like cells, CD20+ B cells, granulocytes, DCs, macrophages, and other APCs, with data series labeled PR in green, SD in yellow, and PD in pink.
An orange abstract graphic resembling connected circles or molecules on a black background.

Data Analysis for Multi-Omics Research

Comprehensive analytical support spanning study design, quality control, statistical modeling, biomarker discovery, machine learning, and publication-ready reporting.

Bar graph showing cell densities for major immune populations before and after drug treatment. Categories include Cytoffe, mIHC, with cell densities measured in cells per mm².
Magnified view of cells with blue and yellow fluorescent staining on a black background.
Scatter plot showing a positive correlation between two variables, labeled 'Pearson Correlation' with axes labeled 'CGB Curve' (x-axis) and 'CGB Line' (y-axis).
A heatmap displaying immune cell types across different patient IDs and timepoints, with color coding from red to blue indicating variations in data values.
Bar graph showing percentages of different B cell types across multiple patients and samples. The B cell types are Ki67+, PD1+, PDL1+, CD69+, CD103+, and CD39+.
A scatter plot showing various types of immune cells, including circulating monocytes, macrophages, resident macrophages, T cells, and unclassified cells, distinguished by different colors. The plot has labeled axes for X and Y in millimeters.

Biomarker Validation

Have a novel antibody or target you need to validate? IMCO provides an end-to-end pipeline, from wet lab optimization through quantitative correlation analysis. By benchmarking your candidate against gold standard assays with rigorous positive and negative controls, we ensure your biomarker delivers a signal that stands above the noise — giving you the confidence to move forward.

Microscopic view of a tissue sample stained to highlight cell nuclei, with a smaller inset showing a grid of similar stained samples.

Exploratory Contexture Analysis

Starting with tissue samples and an undefined omic profile? We'll help you find your footing. IMCO delivers a comprehensive quantitative breakdown of the immune and cellular contexture of each sample, revealing hidden relationships and patterns across your dataset. Think of us as your research compass — orienting your findings, generating meaningful hypotheses, and empowering you to ask the right questions.

Bar chart titled 'Cell Densities for Major Immune Populations' showing cell densities across 17 samples, with color-coded segments for different immune cell types including CD8+ T Cells, Tregs, Th1-like Cells, Th2-like Cells, Unconventional T Cells, B Cells, Macrophages, Monocytes, and Dendritic Cells.
Circular chart comparing Mac and Monos segments with color-coded subcategories including CD163, TIm3+, and Mac, showing percentages for each segment.

Targeted Cohort Analysis

For clinical trials or studies with well-defined research questions, IMCO offers rigorous cohort analysis tailored to your specific objectives. From longitudinal tracking across timepoints to responder vs. non-responder comparisons and multi-arm therapeutic evaluations, we deliver publication-ready visualizations, robust statistics, and spatial analysis. The result: clear, defensible evidence to support confident, data-driven decisions.

Line graph showing major immune populations' cell density before and after a stimulus or event, with increased diversity and cell density post-event, and a legend mapping colors to immune cell types.
Box plot comparing macrophage cell density at three time points: Archival, Pre, and On, with scatter points indicating measurements above and below median PFS.