rTRMui

rTRMui identifies transcriptional regulatory modules from high-throughput genomic and molecular biology data using the rTRM methodology.

Key Features:

• rTRM methodology: Implements the rTRM approach to identify transcriptional regulatory modules.
• High-throughput data analysis: Supports analysis of high-throughput genomic and molecular biology data for investigation of gene expression and regulation.
• Bioconductor integration: Leverages the Bioconductor ecosystem and its 934 interoperable packages for bioinformatics and statistical analyses.

Scientific Applications:

• Genomics and molecular biology: Enables inference of transcriptional regulatory networks and module-level regulators from high-throughput datasets.
• Interdisciplinary research: Facilitates integration of bioinformatics and statistical analysis within the Bioconductor framework for collaborative genomic studies.

Methodology:

Implements the rTRM methodology within the R programming language and leverages Bioconductor's ecosystem of 934 interoperable packages.