What is DROMA?

DROMA (Drug Response Omics association MAp) is a comprehensive database and analysis tool that integrates the largest published studies investigating cancer response to chemical compounds and the associations between drug sensitivity and multi-omics data across various cancer models.

What types of data are included in DROMA?

DROMA includes multi-omics data (mRNA, CNV, protein, mutation, etc.) and drug sensitivity data across various cancer models including PDC (Patient-Derived Cells), PDO (Patient-Derived Organoids), and PDX. Human data integration is under development.

What are the main components of DROMA?

The main components include DROMA_DB (the database), DROMA_Set (an R package for data management and analysis), DROMA_R (an R package for analysis), DROMA_Web (a Shiny website), and DROMA_MCP (an AI agent interface).

What is DROMA_MCP?

DROMA_MCP (DROMA Model Context Protocol) is a server that provides a natural language interface to the DROMA.R and DROMA.Set packages, bridging the gap between AI assistants and cancer pharmacogenomics analysis.

How can I cite DROMA in my research?

Please cite: Li, S., Peng, Y., Chen, M. et al. Facilitating integrative and personalized oncology omics analysis with UCSCXenaShiny. Commun Biol 7, 1200 (2024). https://doi.org/10.1038/s42003-024-06891-2

How many datasets are currently included in DROMA?

DROMA currently includes 17 datasets (11 cell line, 2 PDC, 3 PDO, 1 PDX), totaling 2599 unique samples and 56398 unique drugs.

What is UBOS and how does it relate to DROMA?

UBOS is a Full-stack AI Agent Development Platform that can be used to build, orchestrate, and deploy AI agents. Integrating DROMA with UBOS allows researchers to automate data analysis workflows, develop custom AI agents, and connect DROMA with other data sources.

What is MCP (Model Context Protocol) server?

MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. MCP is an open protocol that standardizes how applications provide context to LLMs.