About BicAT

What is BicAT?

BicAT (Biclustering Analysis Toolbox) is a software tool which offers a graphical user interface for several existing biclustering and clustering algorithms. The main purpose of the tool is to help biologists with the analysis and exploration of the gene expression data, e.g. microarrays.

BicAT Features

BicAT is a tool for visualization and analysis of gene expression data by means of different biclustering and clustering algorithms. It provides a number of algorithms to find biclusters (or clusters) within expression data, as well as a number of postprocessing utilities useful for a further analysis of the results. The different features are:

• Biclustering algorithms (see the publications page for details):
  • BiMax
  • Cheng and Church (CC)
  • Iterative Signature Algorithm (ISA)
  • xMotifs
  • OPSM
• Clustering algorithms:
  • Hierarchical clustering
  • K-means clustering
• Preprocessing
  • Normalization and discretization
• Post-processing facilities:
  • search through biclusters (search criteria: specific gene and/or chip)
  • filter results (by size, eliminate largely overlapping biclusters)
  • gene pair analysis (score gene pairs by the frequency of their being co-clustered, i.e. appear in the same bicluster)
• Export of results

How can I make use of BicAT?

The software is freely available for use and further development. It is provided under these licensing conditions. A manual and a tutorial is provided for usage as well as a brief developer's guide to help you understand the internal structure of the project.

Back to the BicAT main page.