Specialty Modules

Dedicated technologies address any biomarker assay

Biomarkers are the measurable characteristics of an individual—and each is as unique as the person it represents. Moreover, biomarkers not only differ in nature, they differ in the platforms through which they are measured, posing tremendous challenges for researchers trying to compare heterogeneous data within and across heterogeneous populations. QuartzBioSM solves these challenges by accommodating virtually any type of biomarker data and enabling the management, harmonization, and visualization of data collected from multiple technology platforms—visualized at the click of a mouse.

Data Management

Rapidly harmonize more than 10 million data points—then analyze and visualize and share at will

CDISC-compliant biomarker data sets

Advanced reporting and visualization

Rapid transactional speed, scalable for any study

Ability to download raw or processed lab data in CSV or SAS format

Biomarker- and patient-specific patient profiles

Data reconciliation trackers for lab transfers and clinical databases

Assay-specific QC and data workflows

Seamless access to fully integrated, analysis-ready data sets

Systems Biology

Integrate data, visualize complex relationships, and obtain contextual knowledge on biological systems

Pathway and network visualizations

Access to integrated databases for contextual knowledge generation (GeneMANIA, KEGG, CIViC, Human Protein Atlas, and NCBI)

Data-driven findings linked to networks, pathways, and chemicals

Visualized relationships in hierarchical biological data (DNA-RNA-protein)


Explore the genome, transcriptome, and methylome to uncover novel insights from RNA/DNA-seq, NanoString, and Epiontis ID assays

Visualize machine learning and artificial intelligence applied to genome-wide data

Access dimensionality reduction and evaluation of ancestry (PCA, clustering, 3D plots)

Understand how multimarker molecular signatures can predict clinical outcomes

Decipher UCSC Genome Browser and gene- and variant-level annotations

Integrate standard or custom outputs from bioinformatics workflows (eg, GATK)

Visualize gene regulatory networks

Flow cytometry: Explore multilayered data of the immune repertoire—down to cell subsets
Management of FCS files, quality control and linking clinical/sample annotations
Interactive gating functionality with point-and-click interface to visualize gating hierarchy and density images
Ability to import gating workspaces (eg, FlowJo)
Specialized visuals (eg, sunburst plots)
Access to summary level, processed, and raw files

TCR and B-cell receptor sequencing: Investigate the full immune repertoire

Management and quality control of immunosequencing files
Characterization of top rearrangements, CD3 length, gene (VDJ) usage, clonal evolution across samples
Evaluation of repertoire diversity/similarity by cohort, time point, and outcome

Immunoassays: Visually explore staining intensities and obtain direct looks at experimental data from tissue and cell-based assays

Seamless preview of high-res images (eg, IHC, ELISA) with zooming, panning, and annotating

Assay results and raw images linked for review

Tissue- and cohort-level summaries (% positivity, H score, and other intensity measures)

Visually assess immune cells and summarize immune monitoring assays (Epiontis ID)

Real-time Analysis, Visualization, and Reporting

Interrogate data efficiently with exploratory analysis, dynamic visualization and customized reporting

On-the-fly informatics-based data integration

2D and 3D scatter plots

Spaghetti plots

Heat maps

Principal components analysis (PCA)


Fit regression lines

Customized reporting

  • On-the-fly informatics-based data integration
  • 2D and 3D scatter plots
  • Spaghetti plots
  • Heat maps
  • Principal components analysis (PCA)
  • Clustering
  • Fit regression lines
  • Customized reporting

Results Delivery and Insights

Harness the power of custom analysis pipelines to explore complex signatures and pathways within and across your studies

Visualize results from machine learning and artificial intelligence algorithms applied to large scale ‘omics data
Insight into how multimarker molecular signatures can predict clinical outcomes
Customized reporting of complex analysis pipeline for transparency and reproducibility
Results downloaded in various file formats (CSV, PDF, RTF)
Interactive visualizations of analysis results for high-dimensional data (eg, interactive Manhattan plots)
Access to databases for contextual information (GeneMANIA, KEGG, CIViC)

Work with an unrivaled team

Meet our experts

Cultivate the insights of world-renowned industry leaders in biomarker data management and translational informatics.

Precision for Medicine supports life sciences companies in the use of biomarkers essential to targeting patients more precisely and effectively. Precision applies novel biomarker approaches to clinical research that take advantage of the latest advancements in science and technology, focusing predominantly on genomics, immune-response assays, global specimen logistics, biomarker analytics, companion diagnostics, and clinical trial execution.