ScISI

ScISI constructs in silico interactomes to map molecular interactions and support analysis of high-throughput genomic and molecular biology data.

Key Features:

• Bioconductor integration: Leverages the Bioconductor ecosystem and the R programming language to access interoperable packages for statistical analysis.
• Interoperability: Integrates with other Bioconductor packages and datasets to combine analytical methods and data types within the same environment.
• Quality assurance alignment: Operates within the Bioconductor framework that applies formal package review and continuous automated testing for reproducibility.
• Comprehensive analytical coverage: Supports a range of bioinformatic and statistical applications relevant to genomics and molecular biology analyses.

Scientific Applications:

• Genomic data analysis: Enables construction and exploration of interactomes derived from high-throughput genomic datasets.
• Systems and molecular biology: Facilitates mapping of molecular pathways and networks for studies of cellular interactions and mechanisms.

Methodology:

Uses R statistical modeling and analysis and Bioconductor package interoperability to handle large high-throughput datasets and to simulate and analyze molecular interactions.