Sherlock-Genome

Sherlock-Genome facilitates data harmonization, interactive visualization, and integrative analysis of whole genome sequencing data for cancer genomics studies.

Key Features:

• Data Harmonization: Sherlock-Genome provides a platform and guidelines for managing and sharing finalized sample-level whole genome sequencing analysis results.
• Interactive Visualization: The tool includes modules for major cancer genomic analyses with interactive data visualizations.
• Integrative Analysis: Sherlock-Genome enables integrative analyses of whole genome sequencing results with other data types.
• Deployment Flexibility: Sherlock-Genome supports both local and cloud deployment.

Scientific Applications:

• Cancer Genomics: Sherlock-Genome enables comprehensive biological discovery and research advancements through analysis and visualization of whole genome sequencing-based cancer genomics studies.
• Sample-level WGS Analysis: The tool allows users to upload results, inspect analyses locally, and perform integrative analyses of sample-level whole genome sequencing data.

Methodology:

Sherlock-Genome is implemented as an R Shiny application and follows FAIR principles.