Question: How do the features and functionalities of caIntegrator and caB2B features compare?
Topic: caIntegrator Usage
Date entered: 02/08/2010
Release: Up to caIntegrator 1.3
Answer
The table below is a side-by-side comparison of caIntegrator and caB2B features and functionalities. This knowledge base entry is a joint effort with the caintegrator team and caB2B team.
Feature |
caIntegrator |
caB2B |
Functionality |
- Repository for clinic studies: Create and update studies with data of various types in a predefined flat format
- Data warehouse to provide correlation data: Integrate clinical data with genomic and/or imaging data
- Various analysis tools: Add-on KM Plot, Gene Expression Plot and GenePattern Analysis
|
- Administrative Tool allows administrators to configure caB2B by:
- Loading application data models from caDSR
- Creating useful categories, or aggregations, of data
- Joining together categories and/or application data models
- Client Application allows users and administrators to use a Query Wizard to create and execute queries based on the configurations defined in the Admin tool.
- Web Application: Allows users to search and retrieve microarray data, imaging data, specimen data & nanoparticle data based upon a predefined set of queries defined in the Client Application
|
Searches |
Searches within a study, with a secure query tool to search and combine data from caArray and NBIA from caGrid data service. |
An open-source, secure query tool capable of searching for any data on the caGrid, and combining data from across caGrid data services |
Data Compatibility |
- Microarray data, imaging data from caBIGĀ®
- Customized data not in caBIGĀ®
- Simple data format, can upload in data in spreadsheet (.CSV format).
|
Any data registered in caDSR and exposed on the caGrid can be retrieved. |
Grid |
Data can be either on or off the grid. (For example, caArray and NCIA data must be on the grid; clinical data is not on grid). |
Any data registered in caDSR and exposed on the caGrid can be retrieved |
Data Type Matching of Ids |
- There are explicit correlations between the data and the ID.
- Study Managers direct the data types to correct files that show matching between samples.
- The user points the system to files which identify which array is associated with which person.
|
Data can be joined within or across models by using either a common identifier, or by using a consistent data element |
People who are using tool |
- Study Manager understands the data and sets up the tool.
- User can analyze the data without the knowledge of how data are mapped.
|
- Bioinformaticians create categories and new queries
- Researchers can execute those queries without needing to understand how the data is stored
|
Analysis |
Has explicit data analysis components within the application. |
caB2B is not an analysis tool per se. Users can export data from caB2B in a number of different formats (xls, csv, pdf) to perform additional analysis |
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