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Phage Explorer

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I got really interested in biology and genetics a few months ago, just for fun.This was largely inspired by the work of Sydney Brenner, which became the basis of my brennerbot.org project.In particular, I became very fascinated by phages, which are viruses that attack bacteria. They're the closest thing to the "fundamental particles" of biology: the minimal units of genetic code that do something useful that allows them to reproduce and spread.They also have some incredible properties, like having a structure that somehow encodes an icosahedron.I always wondered how the DNA of these things translated into geometry in the physical world. That mapping between the "digital" realm of ACGT, which in turn maps onto the 20 amino acids in groups of 3, and the world of 3D, analog shapes, still seems magical and mysterious to me.I wanted to dig deeper into the subject, but not by reading a boring textbook. I wanted to get a sense for these phages in a tangible way. What are the different major types of phages? How do they compare to each other in terms of the length and structure of their genetic code? The physical structure they assume?I decided to make a program to explore all this stuff in an interactive way.And so I'm very pleased to present you with my open-source Phage Explorer:phage-explorer.orgI probably went a bit overboard, because what I ended up with has taken a sickening number of tokens to generate, and resulted in ~150k lines of Typescript and Rust/Wasm.It implements 23 analysis algorithms, over 40 visualizations, and has the complete genetic data and 3D structure of 24 different classes of phage.It actually took a lot of engineering to make this work well in a browser; it's a surprising amount of data (this becomes obvious when you look at some of the 3D structure models).It works fairly well on mobile, but if you want to get the full experience, I highly recommend opening it on a desktop browser in high resolution.As far as I know, it's the most complete informational / educational software about phages available anywhere. Now, I am the first to admit that I'm NOT an expert, or even that knowledgeable, about, well, ANY of this stuff.So if you’re a biology expert, please take a look and let me know what you think of what I've made! And if I've gotten anything wrong, please let me know in the GitHub Issues and I'll fix it:https://github.com/Dicklesworthstone/phage_explorer

HN · launched Jan 31, 2026 · 127 upvotes (top 8%) · 0 views

Niche: computational biology and chemistry software · 119 launches, 7 in the last 7 days ▲ +17% · Explore this niche →

Category and tags

  • Healthcare
  • Analytics & BI
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial Visualizing genomic tracks in a web browser can be vibe-coded, but parsing complex biological file formats and rendering dense genomic sequences accurately requires bioinformatics knowledge.

What it would actually take: Requires an interactive visualization frontend (Canvas/WebGL or D3.js) paired with parsers for GenBank, FASTA, or GFF3 files. The difficult piece is handling large sequence alignments, gene annotation coordinate mapping, and comparative genomics visualization without UI freezing.

Discussion

20 comments analyzed.

Competitors mentioned: Existing phage biology tools and visualizations, Interactive courses for learning biology, Scientific papers and open repositories for accurate visualizations

Concerns raised: LLM-generated content contains significant scientific inaccuracies (DNA base pair scaling, strand labeling errors, incorrect gene representation), No expert review or fact-checking of biological information, Data presented as authoritative despite being potentially invalid, Not useful for working biologists or as actual teaching tool, Lacks proper annotations, domain labels, and sequence-to-structure connections

Feature requests: Expert human review and fact-checking of all scientific content, Use scientifically accurate images from peer-reviewed papers instead of AI-rendered images, Add prominent warning that data may be invalid due to lack of expert verification, Include gene annotations and domain labels on 3D structures, Connect sequence features to structural elements visually

Competitors

Other products that read as similar to this one : 121 launches clear the similarity bar, closest 8 shown.

Attention rank: #15 of 122 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 92 days after the earliest competitor.

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