An interactive reference guide to landmark papers, assays, and tools in computational biology and genomics since 2010. 179 curated entries spanning 23 domains, with pros/cons, technical details, field impact ratings, and PubMed links.
sequencing · crispr · ml/ai · single-cell · immunology · epigenomics · drug discovery · spatial · tools/infra · gene editing · clinical genomics · delivery · population genomics · proteomics · RNA biology · foundation models · cancer genomics · protein folding · metagenomics · validated targets · drug modalities · causal inference · visualization
- Carousel layout — browse entries with keyboard arrows or swipe; center card is expanded
- Filter by domain — pill buttons to narrow by category
- Sort — by year (newest/oldest) or field impact score
- Full-text search — searches titles, authors, summaries, and technical details
- Read tracking — mark papers as read; filter to unread only; progress persists in the URL hash
- Abbreviation tooltips — ~150 field-specific terms auto-linked with hover definitions
- PubMed links — 137 entries link directly to their PubMed record for reference verification
Zero dependencies, no build step. The entire app is a single index.html file (~3,952 lines) with embedded CSS and vanilla ES6+ JavaScript.
# Open directly
open index.html
# Or serve locally
python3 -m http.server 8000Each entry in the DATA array follows this schema:
{
id, // unique integer
year, // publication year
cats, // array of category keys (see catLabels in source)
impact, // field impact score 1–5
title,
authors,
journal,
summary, // 2–3 sentence overview
pros, // string array
cons, // string array
details, // technical deep dive
url,
pmid // PubMed ID (optional; omit for preprints/tools without a canonical paper)
}Use the /add-paper slash command in Claude Code for guided entry creation.
MIT