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Submission: On February 29 via manual from US — Scanned from DE
Effective URL: https://www.raybiotech.com/cro-services/biostatistics-and-bioinformatics
Submission: On February 29 via manual from US — Scanned from DE
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* Arrays
* * Proteome Screening Arrays
* Antibody Arrays
* Cytokine Arrays
* Chemokine Arrays
* Angiogenesis Arrays
* Apoptosis Arrays
* Autophagy Arrays
* Bone Metabolism Arrays
* Disease Focused Arrays
* ECM Arrays
* High-Density Arrays
* Growth Factor Arrays
* Inflammation Arrays
* Isotyping Arrays
* Pathway Arrays
* Stem Cell Arrays
* T Cell Arrays
* Post-Translational Modification Arrays
* Phosphorylation Arrays
* Glycobiology Arrays
* Acetylation Arrays
* Acylation Arrays
* Nitrosylation Arrays
* Oxidation Arrays
* Cytometric Bead Arrays
* Protein Arrays
* Peptide Epitope Mapping Arrays
* ELISA Kits
* Sandwich ELISA
* Competitive ELISA / EIA
* Indirect ELISA
* Phosphorylation ELISA
* Cell-Based ELISA
* Immuno-PCR IQELISA
* Transcription Factor ELISA
* Bridging ELISA
* Ligand Binding Assays
* ELISA Buffers and Reagents
* Antibodies
* Primary Antibodies
* Secondary Antibodies
* Flow Cytometry Antibodies
* Antibody Pairs
* Isotype Controls
* Proteins and Peptides
* * All Proteins
* Recombinant Proteins
* SARS-CoV-2 Proteins
* MPox Proteins
* Allergen Proteins
* Porcine (pig) Proteins
* Native Proteins
* Enzymes
* Enzyme Inhibitors
* Growth Factors
* Peptides
* Flow Cytometry
* * Flow Cytometry Antibodies
* Flow Cytometry Reagents
* Universal Compensation Beads
* Live/Dead Markers
* Flow Cytometry Kits
* Intracellular Staining Kits
* Cytometric Bead Arrays
* Assay Kits
* Phosphorylation Assays
* Apoptosis Assays
* Metabolism Assays
* Molecular Biology
* * PCR Kits
* Superparamagnetic Beads
* Quantum Dot Kit
* Fluorescent Microspheres
* Small Molecules
* Extraction Kits
* Other Products
* * Mass Spectometry Reagents
* Lab Equipment and Supplies
* Microplate Readers and Washers
* Sample Collection Kits
* Services
* * Array Services
* * Quantitative Proteomics Services
* Discovery Proteomics Services
* Custom Arrays
* * Custom Antibody Array
* Custom Protein Array
* Custom Epitope Mapping Arrays
* Custom Cytometric Bead Array
* Custom Cytometric Bead-Protein Array
* Array Printing Service
* Array Scanning and Analysis
* ELISA Services
* Protein Services
* Custom Protein Production
* GMP Protein Production
* IHC Controls
* Stable Cell Line Development
* Molecular Biology Services
* Antibody Services
* Antibody Production
* Bulk Antibody Production
* CRO Services
* Biomarker Discovery
* Cell Biology Services
* Antibody Drug Development & Characterization
* Pharmacokinetic and Pharmacodynamic Analysis
* Assay Development Services
* Molecular Assays
* Multiomics Services
* Diagnostic Assay Development
* GMP Protein Production
* Biostatistics and Bioinformatics
* Bulk Antibody Production
* Consulting Services
* Flow Cytometry Services
* SIMOA – Single Molecule Protein Detection
* Other Services
* Auto-Western Blot Service
* COVID-19 Pseudovirus Service
* IHC Controls
* Molecular Biology Services
* Research Areas
* * Cell Signaling Pathways
* Akt Signaling Pathway
* AMPK Signaling pathway
* ErbB Signaling Pathway
* Hedgehog Signaling Pathway
* HIF1-alpha Signaling Pathway
* IGFR1 Signaling Pathway
* JAK-STAT Signaling Pathway
* MAPK Signaling Pathway
* mTOR Signaling Pathway
* NF-kappaB Signaling Pathway
* Notch Signaling Pathway
* p53 Signaling Pathway
* PKC Pathway
* TGF-beta Signaling Pathway
* Wnt/beta-Catenin Pathway
* Areas of Interest
* * Antibody Drug Development
* Autoimmunity & Inflammation
* Cancer
* Angiogenesis
* Cardiovascular Disease
* Apoptosis
* Infectious Disease & Vaccines
* COVID-19 (SAR-CoV-2)
* Mpox (MPXV)
* Vaccine Development
* Neuroscience
* Obesity
* Post Translational Modifications
* Resources
* Sample Shipment Instructions
* Sample Preparation Tips
* Publications / Citations
* Publications by RayBiotech Scientists
* Promotions
* Resource Library
* Manual Protocols
* Learning Center
* Array Analysis Tools
* About Us
* Careers
* Quality Systems
* Business Partnerships
* Contact Us
* Distributors & Service Providers
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* Biostatistics and Bioinformatics
BIOINFORMATICS SERVICES
Array data must be analyzed with care to best identify differences between
samples, but not everyone has the expertise or resources to properly process
array data. Let our in-house biostatistics and bioinformatics experts analyze
your data for you.
We can perform custom analyses for both genomics and proteomics data. For
RayBiotech multiplex arrays, we offer á la carte options. We can also assist in
experimental design. Click on a service below to learn more:
Tell us about your project and the type of analysis you need at
techsupport@raybiotech.com. You can also call us at 770-720-2992 to quickly
speak with a representative to help guide you.
Email the Experts
CORE BIOINFORMATICS & BIOSTATISTICS SERVICES
DATA CLEAN-UP
DIFFERENTIAL EXPRESSION ANALYSIS
CLUSTER ANALYSIS
PATHWAY ANALYSIS
BIOMARKER SELECTION
EXPERIMENTAL DESIGN
MULTIOMICS
QUANTITATIVE PROTEOMICS
DISCOVERY PROTEOMICS
DATA CLEAN-UP
We recommend the data clean-up service for all array data as it forms the
foundation for all subsequent biostatistics and bioinformatics analysis. Your
final report will contain the protein expression data after data filtration,
normalization, transformation, and outlier extraction (Microsoft Excel format)
in addition to a detailed description of analysis steps performed (PDF format).
Example Data Clean-Up Report
Outlier identification using Principal Component Analysis (PCA)
DIFFERENTIAL EXPRESSION ANALYSIS
This analysis identifies the proteins that are statistically significant between
different groups of samples. This service is especially helpful for biomarker
discovery / validation and profiling. The types of statistical analyses include:
* T-test & ANOVA (Analysis of Variance)
* Wilcoxon Rank-Sum
* SAM (Significance Analysis of Microarray)
Your final report will contain the following information:
* Description of analysis steps performed
* Comparison of statistical tests
* Result summary depicting p-values
* Volcano Map
* Jitter or swarm plot
Use to determine:
* Potential side effect discovery
* Exploration of drug molecular mechanisms
* Bioprocessing residue identification
* Biosimilar evaluation
Example Differential Expression Analysis Report
Jitter plot comparing sample groups for one biomarker candidate.
Cross-validation and accuracy and kappa of biomarkers using different
statistical tests. Volcano plot comparing sample groups.
CLUSTER ANALYSIS
Cluster analysis identifies groups of markers with similar and different
expression profiles across groups. This service is especially helpful for
profiling and sample stratification. The final report includes:
* Description of analysis steps performed
* Hierarchical cluster
* PCA plot
Example Cluster Analysis Report
Hierarchical cluster and heatmap of 8 samples where red represents increased
expression level and blue represents decreased expression level. Plot of PC1 and
PC2 values of 6 samples. Samples subjected to Treatment #2 ("T2") cluster with
each other but not with samples subjected to Treatment #1 ("T1"). Samples
subjected to T1 do not cluster with each other.
PATHWAY ANALYSIS
Pathway analysis identifies the specific protein functions, biological pathways,
and physical interactions that are enriched in a particular group. The data are
obtained from:
* GO (Gene Ontology)
* KEGG (Kyoto Encyclopedia of Genes and Genomes)
* STRING
This service is used for profiling, sample stratification, and biomarker
discovery. Your final report will contain the following information:
* Description of analysis steps performed
* Pathway enrichment
* List of enriched pathways and FDR values
* List of the proteins, their known functions and processes, and p-values
related to their enrichment
* Enriched biological pathways (see figure)
* Enriched molecular functions
* Enriched biological processes
* Protein interaction mapping
* List of proteins identified in your study that have known interactions with
each other
* Protein interaction map (see figure)
Example Pathway Analysis Report
KEGG pathway over-representation analysis on differentially-expressed biomarkers
(FDR < 0.05). Protein interaction map where proteins are represented as nodes
and interactions as edges.
BIOMARKER SELECTION
Biomarker selection uses a variety of models to identify a subset of biomarkers
that best differentiate the control from test samples. The models that are used
in this service include:
* Logistic regression
* Linear discriminant analysis (LDA)
* Support vector machine (SVM)
* Random forest
* Other models may be used
Your final report will contain the following information:
* Description of analysis steps performed
* Predictive modeling using a subset of data
* ROC analysis
Example Biomarker Selection Report
EXPERIMENTAL DESIGN
Before you begin an experiment. Don’t find out after you’ve collected your data
that you didn’t design your experiment properly! RayBiotech’s team of technical
experts will work with you to design your experiment so that you can obtain
statistically-powerful array data. We consider such things as:
* Replication
* Randomization
* Blocks
* Sample size
* Estimated biomarker prevalence
* Sensitivity & specificity
What you get:
* One-on-one consultation with a technical expert
* Detailed experimental design report
* Properly designed experiment so that statistically-powerful data can be
obtained
DISCUSS YOUR PROJECT REQUIREMENTS
Email our experts
FREQUENTLY ASKED QUESTIONS
Still have questions?
Contact Us
HOW MUCH DOES IT COST? WHAT IS THE PRICING FOR THE VARIOUS BIOSTATISTICS &
BIOINFORMATICS PACKAGES?
Package Name What you get Per sample with ≤ 500 targets Per sample with > 500
targets** Catalog # Basic Data clean-up $5 BIOSTAT-Pre-A $8 BIOSTAT-Pre-B Any 1*
Any ONE service*
Includes data clean-up $10 BIOSTAT-1-A $16 BIOSTAT-1-B Any 2* Any TWO services*
Includes data clean-up $16 BIOSTAT-2-A $25.60 BIOSTAT-2-B Any 3* Any THREE
services*
Includes data clean-up $21 BIOSTAT-3-A $33.60 BIOSTAT-3-B The Works All 4
services*
Includes data clean-up $24 BIOSTAT-Works-A $38.40 BIOSTAT-Works-B Experimental
Design Experimental Design $250 per experiment*** BIOSTAT-ED
These prices are for array data using RayBiotech arrays. Minimum of $250 per
order.
For pricing information on data collected using other companies' arrays, bulk
service orders, custom packages, or custom analyses, please contact us.
* All data must go through pre-processing, which is known as our "Data clean-up"
service. This package does NOT include Experimental Design.
** Up to 1500 targets. For more than 1500 targets per array, please contact us
for pricing.
*** For example, biomarker discovery and validation are two different
experiments.
WHAT IS THE CORRECT DATA FORMAT FOR SUBMISSION?
This depends on the data analysis that we will perform.
If data from RayBiotech arrays will be analyzed with our Biostatistics &
Bioinformatics service, the data must be provided in the correct format:
* Analyzed with the Analysis Tool software. The Analysis Tool software is
available for free to download on the array's product page. If you have
difficulty locating the software, please e-mail info@raybiotech.com and
provide the array catalog numbers that you used.
* Normalized inter-array data. The Analysis Tool software normalizes data
within a slide, but does not perform across-slide normalization. Learn more
about normalizing array data on this page under "How do I normalize my array
data?"
RayBiotech can provide the correct data format for RayBiotech arrays as part
of our array full testing services or array analysis services (additional
fees apply).
If other types of data will be analyzed, we will let you know what type of
format we will require.
WHAT WILL MY REPORT LOOK LIKE?
Click on a service below to view an example report:
* Biomarker Selection
* Cluster Analysis
* Data Clean-Up
* Differential Expression Analysis
* Pathway Analysis
WHY MUST ALL DATA BE ANALYZED USING THE "DATA CLEAN-UP" SERVICE. IS THIS REALLY
NECESSARY? WHAT WILL HAPPEN IF I DON'T USE IT?
This step is important for a couple of reasons.
The first reason is that this service puts the data in a format that is required
by the other services. In other words, if a dataset does NOT go through "Data
clean-up", none of the other services can be performed.
The second reason is that variability within and across arrays is common with
protein arrays, thus data normalization and transformation essentially improve
the technical reproducibility. Outlier data can skew results. If this service is
NOT used, it is highly probable that any potential differences between sample
groups are not identified. Alternatively, differences that are detected may not
be reliable (i.e., false positives).
HOW DO YOU IDENTIFY BIOMARKERS?
We can identify biomarkers by their differential expression; enrichment of
pathway, molecular function, biological process, and protein-protein
interactions; and feature selection following predictive modeling.
COULD YOU CREATE FIGURES AND USE ANALYTICAL TOOLS THAT I WANT FOR MY DATA EVEN
THOUGH THEY AREN'T LISTED IN YOUR SERVICE PACKAGES? HOW MUCH WILL IT COST?
It depends. We appreciate feedback and suggestions, and may implement your
suggestions as part of our standard services. Some figures and analyses may be
free depending on the selected package, number of samples and workload that it
will take. Please contact us to find out.
WHAT IS YOUR TURNAROUND TIME WITH THE BIOSTATISTIC AND BIOINFORMATIC PACKAGES?
For packages using only one service, our turnaround time is 5 - 7 business days.
For the other packages including > 2 services, our turnaround time is 10 - 12
business days.
WHAT IS YOUR TURNAROUND TIME WITH THE EXPERIMENTAL DESIGN PACKAGE?
Once we receive all of the information that we need from you, our turnaround
time is 5 - 7 business days.
CAN YOU ANALYZE ARRAY DATA USING ARRAYS FROM OTHER COMPANIES?
We can. The format needs to be in .csv or Excel. The protein symbol or gene
symbol must be listed by row. The sample must be listed by column. For these
analyses, you will need to contact us for pricing.
CAN YOU DO BIOSTATISTIC AND BIOINFORMATIC ANALYSES ON DNA DATA? IF SO, HOW MUCH
IS IT?
We can do analyses on DNA data and the cost is dependent on several factors. We
will need to know sample number, data quality, data size, and data type (i.e.,
how was it analyzed?). You also need to let us know exactly what type of
information you're looking for, such as peak identity, peak annotation, sample
comparison, etc. Our turnaround time is usually 2 - 3 weeks. Please contact us
to learn more.
DO YOU OFFER A DISCOUNT FOR ANALYZING A LOT OF SAMPLES?
We often do, depending on the number of samples that will be analyzed. Please
contact us to find out.
WHY IS THERE A MINIMUM CHARGE FOR THIS SERVICE?
There is a required amount of time to set up the analyses per experiment, and it
is one of the most labor-intensive steps of the process. Therefore, we need to
charge a minimum amount to cover the labor required for setting up the analyses.
CAN I GET AN EXCEL FORMAT OF MY DATA?
Yes, you can. If an Excel format of your report is not provided to you, just ask
us for it.
HOW DOES THE "BIOMARKER SELECTION" SERVICE DIFFER FROM THE "DIFFERENTIAL
EXPRESSION ANALYSIS", "CLUSTER ANALYSIS", AND "PATHWAY ANALYSIS" SERVICES?
The "Differential expression analysis", "Cluster analysis", and "Pathway
analysis" services are interested in finding the statistical or biological
relationship of a biomarker with the disease. The "Biomarker selection" service
is interested in finding the combination of biomarkers that will classify or
predict disease status.
WHAT ARE THE MINIMUM SAMPLE REQUIREMENTS PER SERVICE?
"Data clean-up": 1 sample
"Pathway analysis": 1 sample per group
"Cluster analysis": 1 sample per group
"Differential expression analysis": 3 samples per group
"Biomarker selection": 10 samples per group
Per group refers to a condition to be tested. If healthy versus cancer samples
are to be compared, these are two different groups and a minimum of 20 samples
would be needed to perform the "Biomarker selection" service.
Low sample numbers for "Differential expression analysis" and "Biomarker
selection" services will result in less accurate modeling. Researchers should
try to use at least 10 samples per group for the "Differential expression
analysis" service and at least 25 samples per group for the "Biomarker
selection" service.
HOW ARE THESE ANALYSES PERFORMED?
For a general, non-math understanding of how many of these analyses work, please
click here.
Still have questions?
Contact Us
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