GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
CoRR(2024)
摘要
Summary: The vast generation of genetic data poses a significant challenge in
efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven
chat framework that tackles this challenge by bridging the gap between genetic
data generation and biomedical knowledge discovery. Leveraging generative AI,
notably ChatGPT, it serves as a biologist's 'copilot'. It automates the
analysis, retrieval, and visualization of customized domain-specific genetic
information, and integrates functionalities to generate protein interaction
networks, enrich gene sets, and search scientific literature from PubMed,
Google Scholar, and arXiv, making it a comprehensive tool for biomedical
research. In its pilot phase, GENEVIC is assessed using a curated database that
ranks genetic variants associated with Alzheimer's disease, schizophrenia, and
cognition, based on their effect weights from the Polygenic Score Catalog, thus
enabling researchers to prioritize genetic variants in complex diseases.
GENEVIC's operation is user-friendly, accessible without any specialized
training, secured by Azure OpenAI's HIPAA-compliant infrastructure, and
evaluated for its efficacy through real-time query testing. As a prototype,
GENEVIC is set to advance genetic research, enabling informed biomedical
decisions.
Availability and implementation: GENEVIC is publicly accessible at
https://genevic-anath2024.streamlit.app. The underlying code is open-source and
available via GitHub at https://github.com/anath2110/GENEVIC.git.
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