Get the most out of your data with our bioinformatics and biostatistics services handled by our experts

The data analysis
you need

Generating meaningful and reliable results from large datasets obtained from different multiplex technologies and various study designs is often challenging for drug developers, translational and clinical researchers. It necessitates capabilities ranging from custom data visualization to statistical analysis.

CellCarta’s has built an experienced in-house team of bioinformatic specialists with a broad expertise in data analysis, data visualization and biostatistical analysis to provide our clients with trustworthy results in an easy-to-interpret customizable format.

Deep dive
into your data

Our bioinformaticians, biostatisticians, and scientists work as a seamless team and in close collaboration with our clients to select the right method of analysis and ensure the wealth of extracted data is used to its fullest potential.

Proprietary and commercial computational tools are part of our well-integrated workflow:

  • Visualizing – Easy and consistent visualization of large datasets to facilitate biological interpretation.
  • Annotation – Using publicly available databases and pathway analysis platforms, data is examined and annotated to better understand its biological relevance, allowing you to reach the next phase of your research faster.
  • Statistical Analysis – Our biostatisticians are experts in analyzing complex data sets from various platforms. They will provide you with statistically significant and meaningful results following processing through a well-integrated workflow aligned with your objectives.
Bioinformatics Schema

Personalized data reporting

CellCarta provides standard or customized reports, based on study design and statistical analysis plan. Additional information provided in customized reports such as ratios, basic normalization, and biological interpretation may assist in accelerating the interpretation of complex data sets.

The expertise, the methodology, and the tools to maximize
your data

Our bioinformatic team has expertise in analyzing proteomic, genomic, and immune monitoring data with approaches adapted to each platform. Our automated, integrated data analysis platform increases reproducibility and efficiency and decreases risk of errors. Statistical analysis plans (SAPs) govern our analysis methodology for added consistency. Our team is also involved in providing guidance during assay validation to ensure assay robustness.

Our bioinformatics and biostatistics experts have a deep understanding of all our different platforms and employ multiple approaches and tools, depending on the platform and study objectives:

  • Exploratory Data Analysis (EDA) – To identify outliers and patterns present in the data as well as their potential source
  • Normalization – To obtain data free of sample processing bias (SPB) and to consider pre-analytical variables
  • Expression Analysis – To assess the relationship between clinical variables and expression levels
  • Visualization of data – To provide context and facilitate data interpretation (e.g. heatmap)
  • Machine Learning – To design predictive panels for datamining which will improve the classification performance and detect relevant biomarkers that might have been missed with a traditional expression analysis
  • Clustering – To improve patient grouping
  • Pathway Analysis – To understand mechanisms of action and better characterize biomarkers