MASQOT-GUI

MASQOT-GUI performs two-channel microarray spot quality control by automating gridding, segmentation, quantification, and multivariate quality assessment to evaluate spot-level integrity in genomic studies.


Key Features:

  • Gridding: Automates identification and alignment of spots on two-channel microarray slides.
  • Segmentation: Segments foreground (spot) and background signals to enable accurate spot detection and measurement.
  • Quantification: Quantifies spot intensities for downstream comparison of gene expression levels in two-channel microarrays.
  • Quality Assessment: Performs automated multivariate quality-control assessment using the MASQOT methodology to detect issues such as uneven hybridization or scanning errors.
  • Data Visualization: Generates graphical assessments of spot quality and overall experiment integrity.
  • Interoperability: Provides import/export compatibility and interaction between independent applications to enable data exchange with external software.

Scientific Applications:

  • Gene expression profiling: Quality control of two-channel microarray data used for comparative gene expression studies.
  • Genetic variation studies: Ensures data integrity in microarray experiments aimed at detecting genetic variations.
  • Microarray-based molecular biology: Supports investigations of molecular biology phenomena that rely on reliable spot measurements from microarrays.
  • Large-scale studies: Enables consistent and reproducible quality control for large-scale microarray experiments.

Methodology:

Computational steps include automated gridding, foreground/background segmentation, spot intensity quantification, and automated multivariate quality-control assessment implementing the MASQOT methodology.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Bylesjö M, Sjödin A, Eriksson D, Antti H, Moritz T, Jansson S, Trygg J. MASQOT-GUI: spot quality assessment for the two-channel microarray platform. Bioinformatics. 2006;22(20):2554-2555. doi:10.1093/bioinformatics/btl434. PMID:16899490.

Documentation

Links