← All communities
Reddit community

r/bioinformatics

164.7K members. The best post we have captured here reached 1.1K upvotes, which works out to 6 per 1,000 members.

6peak upvotes per 1,000 members
164.7Kmembers
1.1Kbest post
176most comments
197posts we track

Open r/bioinformatics on Reddit ↗

What actually lands here

The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.

51% 26% 12%
Text 51% Question 26% Link 12% Image 6% Gallery 5% Video 1%

The topics it labels

Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.

discussion 30 article 15 image 8 other 8 academic 8 meta 6 programming 5 website 4 career question 4 video 2

What the ceiling looks like

The biggest posts we have captured here. Links go to the original on Reddit.

Happens every spring

↑ 1.1K 💬 22 image 2025

Bioinformatics is just reading and writing text files

↑ 860 💬 54 image 2025

'Working' from home? I made a guide to help wet lab biologists learn computational biology!

↑ 794 💬 77 question 2020

Bioinformatics is still in it's infancy

↑ 602 💬 66 text 2025

Pretty accurate

↑ 554 💬 21 image 2020

Real talk.

↑ 525 💬 21 image 2019

Bioinformatics feels fake sometimes

↑ 446 💬 58 text 2024

Don't worry, it's not viral.

↑ 415 💬 15 gallery 2022

Why we will not ban "career related questions" in this subreddit.

↑ 383 💬 53 text 2019

I built a genome viewer in the terminal!

↑ 369 💬 34 link 2025

Communities its size

Within four times the member count either way, so the comparison is fair. Sorted by upside.

See what is climbing here before you write

ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.

Start free →

Every figure here is what ViralHunt has captured from r/bioinformatics, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.