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.

Documentation

Links