Biostatistics and Bioinformatics Services

Get the most out of your array data

Protein arrays represent a powerful technology which has opened a new arena of functional proteomics. In order to understand how cellular activities are altered in different prophylactic, therapeutic, or disease models, array data must be analyzed in depth and with care in order to best identify novel changes. Biostatistical analysis offers the best capacity for evaluating the quality of protein expression data, identifying and extracting errors, and providing the greatest degree of confidence in the results.

Our in-house team of biostatistics and bioinformatics experts can guide you through this process, and build a tailored computational solution for your antibody and protein array data. The cost of our consultation services will be provided on a per-project basis, with a la carte options, package services, and also hourly rates options.

Biostatistics Flow Chart

Contact us to learn more or schedule a consultation.

Service Features

RayBio® Biostatistics and Bioinformatics Services Options can include the following:

  1. Pre-processing Service for Protein Array Data+

    The pre-processing service is performed on raw array expression data to ensure high quality of the results. The processed array data form the foundation for all subsequent biostatistics and bioinformatics analysis. This would include the following:

    • Data storage and management for Protein Array studies
    • Data computation
    • Generation of spreadsheet with expression data for all samples
    • Data normalization and transformation
    • Data outliner detection
    • Data filtering
    • Written report include data expression data for all samples, filtered and transformed data, description of analysis steps performed, and analysis summary.
  2. Discriminatory Protein Marker Analysis Service+

    Discriminatory protein marker analysis allows the detection of proteins that show statistical differences between different groups. In order to provide confidence in the data, the minimum requirement is 10 samples from each group, for example, tumor and normal groups.

    • Determination of the top discriminatory proteins for the two groups of samples
    • Basic t-test computation of the data
    • ANOVA (Analysis of Variance) test of the data
    • Wilcoxon Rank Sum test of the data
    • SAM(Significance Analysis of Microarray)
    • Volcano Map showing fold change by p values

    Examples (click on image to enlarge):


  3. Data Mining Cluster Analysis and Predictive Modeling Service+

    Data mining cluster analysis and predictive modeling allows the identification of groups of markers with similar expression profiles. This could also lead to identification of a group of markers which can distinguish between different groups, and be used as potential biomarkers.

    • Cluster of all relevant proteins according to the similarity of their expression profiles
    • Hierarchical cluster analysis
    • K-Nearest Neighbor Analysis
    • Predictive modeling with cross-validation
    • Assay Performance Analysis and ROC Analysis

    Examples (click on image to enlarge):


  4. Protein Pathway Analysis Service (KEGG and Go analysis)+

    Protein pathway analysis allows the conversion of processed array data into biologically meaningful results. Using Go and KEGG analysis, the service can provide biological protein annotation analysis and signaling pathway analysis.

    • Identification the biological meaning for protein clusters
    • Gene Ontology Analysis
    • KEGG analysis
    • Annotation of Proteins
    • Assignment of Proteins to Predetermined Categories
    • Annotation Enrichment Analysis
    • Signaling Network Analysis

    Examples (click on image to enlarge):


  5. Protein-Protein Interaction Networking Analysis Service+

    The Protein-Protein Interaction Database allows for the integration of array data in order to create an easy to understand framework of what proteins are doing in a given scenario. Our Protein-Protein Interaction Networking Analysis (PPI) allows the annotation of the PPI networking map via identification of key protein markers and a comparison with literature reports.


    Examples (click on image to enlarge):


  6. Assistance in Customized Array Design for Follow-up Analysis+

Contact us to learn more or schedule a consultation.