Printer-friendly versionImaging and omics technologies are generating increasingly sizable raw datasets, providing challenges for data management and analysis. Systems Biology seeks to broadly understand the biology from a systems perspective. It also needs to be able to manage, integrate, and analyze numerous technologies and data types within a biological context.
Systems Biology: Challenges
The inherent extreme complexity of systems biology poses an additional set of challenges for systems biology investigators, researchers and bioinformaticians, including:
- Multi-technology core facility or research programs need to leverage data from multiple sciences (e.g. genomics, proteomics, metabolomics)
- Managing multiple workflows and integrate multiple diverse datasets to one master sample
- Integrating and automating robotics and instrumentation
- Linking and integrating clinical information to systems biology results
- Marshalling data to statistical analysis (e.g. JMP Genomics, R, Spotfire) and pathway modeling software (e.g. Ingenuity, GeneGo)
Systems Biology: Solutions from GenoLogics
Our Systems Biology solution addresses the aforementioned challenges and offers researchers and investigators the ability to:
- Visualize from master sample through interactive sample genealogy view, for all processing and analysis
- Manage large data sets, automating multiple science analytical pipelines
- Trace sample history from multiple sciences, all within one application
