SignalViewer
SignalViewer analyzes cDNA microarray images to quantify and interpret genome-wide gene expression from image data.
Key Features:
- Automated alignment: Provides automated alignment processes for cDNA microarray images.
- Minimal manual intervention: Enables exploration of image data with reduced requirement for manual input.
- Method transparency: Exposes and reports limitations and assumptions used in image analysis.
- Reproducibility and reliability: Reduces human-induced variability in microarray quantification to support reproducible results.
- Scalability: Processes large microarray image datasets for genome-wide expression analysis.
- Workflow streamlining: Streamlines steps from image acquisition to data interpretation.
Scientific Applications:
- Differential expression analysis: Identifies differentially expressed genes across conditions using cDNA microarray images.
- Genome-wide expression profiling: Supports comprehensive gene expression profiling across treatments or conditions.
- Disease mechanism studies: Aids investigation of molecular-level disease mechanisms via expression pattern analysis.
- Therapeutic response evaluation: Evaluates responses to therapeutic interventions through comparative expression analysis.
Methodology:
Automated alignment of microarray spots and computational processing of image data with explicit reporting of analysis assumptions and limitations.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Laws R, Bergemann T, Quiaoit F, Zhao L. SignalViewer: analyzing microarray images. Bioinformatics. 2003;19(13):1716-1717. doi:10.1093/bioinformatics/btg208. PMID:15593405.
PMID: 15593405