ensembl-database
Ensembl Database
Overview
Access and query the Ensembl genome database, a comprehensive resource for vertebrate genomic data maintained by EMBL-EBI. The database provides gene annotations, sequences, variants, regulatory information, and comparative genomics data for over 250 species. Current release is 115 (September 2025).
When to Use This Skill
This skill should be used when:
- Querying gene information by symbol or Ensembl ID
- Retrieving DNA, transcript, or protein sequences
- Analyzing genetic variants using the Variant Effect Predictor (VEP)
- Finding orthologs and paralogs across species
- Accessing regulatory features and genomic annotations
- Converting coordinates between genome assemblies (e.g., GRCh37 to GRCh38)
- Performing comparative genomics analyses
- Integrating Ensembl data into genomic research pipelines
More from drshailesh88/integrated_content_os
social-media-trends-research
Programmatic social media and marketing research using free tools: pytrends (Google Trends), yars (Reddit without API keys), and Perplexity MCP (Twitter/TikTok/Web). Use when finding trending topics in a niche, tracking keyword velocity and volume, monitoring Reddit discussions, discovering what's going viral, or researching content opportunities before writing. Zero-cost research stack with built-in rate limiting. Complements content-marketing-social-listening skill with executable code.
461medical-newsletter-writer
>
57academic-chapter-writer
Comprehensive academic textbook chapter writing system for medical/scientific content. Use when the user wants to: (1) Write a full textbook chapter (5,000-15,000 words) on any medical/scientific topic, (2) Generate a detailed table of contents with section word counts, (3) Research topics via PubMed MCP and compile 20-30 references, (4) Write section-by-section with proper citations in Vancouver format, (5) Create publishable academic content with Eric Topol-inspired voice and authentic human prose, (6) Get approval at TOC stage before writing begins, (7) Export well-structured chapters for textbook publication.
48youtube-script-master
Unified YouTube script creation for cardiology channels in Hinglish. Uses the COMPLETE research-engine pipeline (channel scraping, comment analysis, narrative monitoring, gap finding, view prediction) combined with RAG + PubMed for evidence. Data-driven topic selection, 15-30 min educational videos with 6-point voice check.
38influencer-analyzer
Track and analyze cardiology content creators (Topol, Attia, York Cardiology, Indian channels). Discovers content patterns, topics, engagement, and gap opportunities for your Hinglish content strategy.
38browser-automation
Browser automation for ChatGPT Plus and Gemini Advanced web interfaces. Uses Playwright MCP to interact with your paid subscriptions without API costs. Supports both models for writing comparison.
33