Our Mission
HumanGeneAI is dedicated to democratizing access to comprehensive genetic information through cutting-edge artificial intelligence. Our platform bridges the gap between complex genomic data and actionable insights, empowering researchers, clinicians, and scientists worldwide with personalized genetic analysis.
We believe that genetic information should be accessible, understandable, and actionable. By integrating multiple authoritative databases with AI-powered analysis that considers individual biological factors, ethnicity, and geographic background, we're creating a unified platform that accelerates genetic research and provides personalized genetic insights.
Platform Overview
Key Features
π Multi-Database Search
Search across 7 major genetic databases simultaneously, providing comprehensive gene information in one unified interface with direct linkouts to source databases.
π€ AI-Powered Analysis
Advanced AI algorithms provide intelligent insights, personalized gene recommendations based on biological factors, and research trends analysis.
π¬ AI Chat Assistant
Natural language chat interface powered by OpenAI for asking complex genetic questions and receiving AI-assisted interpretations of genetic data in plain language.
𧬠Personalized Recommendations
AI-driven gene suggestions based on age, gender, ethnicity, geographic location, and health profile for targeted genetic insights.
οΏ½ Clinical Trials & Drug Data
Real-time access to ClinicalTrials.gov and PharmGKB for drug interactions, clinical studies, and pharmacogenomic guidelines.
πΈοΈ Gene Association Networks
Interactive gene association analysis using Hetionet biomedical knowledge graphs to explore gene-disease-compound relationships.
π Advanced Gene Analytics
Machine learning-powered analytics with 193,640+ gene records, optimized database performance, and sub-100ms query response times.
π Smart Alias Resolution
Automatically resolves gene aliases and displays comprehensive gene symbol mappings across all integrated databases.
π Real-time Trending
AI-powered analysis of trending genes from PubMed, clinical trials, biotech news, and research conferences.
π Population Genetics
Ethnicity and geographic-specific genetic variants and disease risk assessments for diverse populations worldwide.
β‘ High-Performance Database
Optimized HumanGeneAIDB with performance indexes, advanced query optimization, and enterprise-grade reliability.
π± Responsive Design
Optimized for desktop, tablet, and mobile devices with an intuitive, modern interface and seamless cross-platform experience.
Integrated Databases & APIs
HumanGeneAI retrieves and integrates information from the world's most authoritative genetic and clinical databases:
𧬠Core Genetic Databases (7)
MyGene.info
Primary gene annotation service with high-performance APIs and comprehensive gene information
NCBI Gene
National Center for Biotechnology Information - official gene database
HGNC
HUGO Gene Nomenclature Committee - official gene symbols and nomenclature
Ensembl
European genome annotation project from EMBL-EBI with detailed genomic data
UCSC Genome Browser
University of California Santa Cruz genome browser and visualization tools
UniProt
Universal Protein Resource for protein sequences, functions, and annotations
ProteinAtlas
Human Protein Atlas - tissue-specific protein expression and localization data
π Clinical & Pharmacogenomics APIs (2)
ClinicalTrials.gov API
Official U.S. database of clinical studies - real-time clinical trial information and drug studies
PharmGKB
Pharmacogenomics Knowledgebase - drug-gene interactions and clinical guidelines
π Internal Database
HumanGeneAIDB
Our optimized gene database with 193,640+ gene records, 34 performance indexes, and sub-100ms query response times
π External Link-outs & References (4)
OMIM
Online Mendelian Inheritance in Man - comprehensive database of human genes and genetic phenotypes
VEGA Archive
Vertebrate Genome Annotation project - archived reference gene annotation from Ensembl
Hetionet
Biomedical knowledge graph connecting genes, compounds, diseases, and biological processes
GenomeNames.org
Direct links to HGNC gene nomenclature data and gene symbol reports
Personalized Gene Analysis
Our advanced AI-powered personalized gene analysis considers multiple biological and environmental factors to provide targeted genetic recommendations:
Biological Factors
Age-Based Analysis: Different genes become relevant at various life stages, from developmental genes in youth to age-related disease susceptibility genes in later life.
Gender-Specific Genetics: Male and female-specific health risks, including sex-linked genetic conditions and hormone-related genetic variants.
Population Genetics
Ethnicity-Based Recommendations: Population-specific genetic variants including carrier screening relevant to African, Asian, European, Hispanic, Native American, and Middle Eastern ancestries.
Geographic Considerations: Regional genetic adaptations and environmental factors that influence gene expression, including altitude adaptation, UV sensitivity, and disease resistance patterns.
Health Profile Integration
Symptom Analysis: AI processes reported symptoms and health conditions to identify relevant genetic factors for diabetes, cardiovascular disease, cancer predisposition, and neurological conditions.
Family History: Considers familial genetic patterns and hereditary disease risks for comprehensive genetic counseling insights.
Technology Stack
Frontend
Built with Node.js and modern development frameworks, our frontend provides a responsive and intuitive user experience. The interface is designed for both casual users and professional researchers.Our backend provides robust API integration, real-time data processing, and secure data handling.
AI Integration
Advanced AI models provide intelligent analysis, pattern recognition, personalized gene recommendations, and research trend analysis. Our AI considers biological factors including age, gender, ethnicity, and geographic location to deliver personalized genetic insights relevant to specific populations and health profiles.
AI Chat & Natural Language Processing
Our intelligent chat functionality is powered by OpenAI's advanced language models, enabling natural language interactions for genetic research queries. This integration allows users to ask complex questions about genes, receive explanations in plain language, and get AI-assisted interpretations of genetic data. The chat system provides contextual responses based on the comprehensive genetic database, making complex genomic information accessible through conversational interfaces.
Infrastructure
Deployed on Microsoft Azure with Docker containerization, ensuring scalability, reliability, and global accessibility.
Development Team
Passionate about leveraging technology to advance genetic research and make complex genomic data accessible to researchers worldwide.
Data Sources & Compliance
All genetic data is sourced from publicly available, peer-reviewed databases. We maintain strict compliance with data usage policies and ensure proper attribution to all data sources.
Research Use
This platform is designed for research and educational purposes. All information should be verified through primary sources for clinical or commercial applications (Especially at these early stages of development)
Privacy & Security
We prioritize user privacy and data security. No personal genetic information is stored, and all queries are processed in real-time without data retention.
Future Roadmap
We're continuously improving HumanGeneAI with exciting features planned over time:
- π¬ Advanced variant analysis tools
- π Enhanced population genetics data integration
- π§ͺ Pathway analysis and visualization
- π Literature mining and citation tracking
- π API access for programmatic integration
- π Multi-language support
- π₯ Family history analysis integration
- π₯ Clinical decision support tools
Contact & Support
We value your feedback and are here to help with any questions about HumanGeneAI.
Version: 1.0.0
Last Updated: July 2025