#Bioinformatics
Live, measured metrics for the hashtag #Bioinformatics from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bioinformatics
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-27 16:54 UTC14 uses by 13 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-27 16:54 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-27 16:54 UTCEverything below is measured over the latest 40 public posts (spanning ~349 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (37) · German (3)
Avg boosts / post: 0.9
Top of the latest posts
Tools ! tools ! plenty of new AI-slop tools ! https://www.biostars.org/t/tools/ #biostars #AI #bioinformatics #slop
Researchers have characterized the "average" human genome using whole-genome sequencing from nearly one million individuals, revealing that extensive genetic variation, including the presence of disease-associated mutations, is a universal
RE: https://social.coop/@cwebber/117496354221696207 Holy cow. I guess I shouldn't be surprised, #emacs is basically an os and has been for a while. Crazy we don't have more #bioinformatics shenanigans in emacs land. I understand pipeline he
What “bioinformatics” means
Wiktionary · Wikipediabioinformatics/ˌbaɪəʊˌɪnfəˈmætɪks/
- nounA field of science in which biology, computer science, and information technology merge into a single discipline to analyse biological information using computers and statistical techniques.
Bioinformatics is an interdisciplinary field of science that develops computational methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics integrates principles from biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics, and statistics to analyze and interpret biological data. This process can sometimes be referred to as computational biology; however, the
“Bioinformatics” on Wikipedia (CC BY-SA) →#bioinformatics across platforms
every network with a public tag surfaceFollow #bioinformatics straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/bioinformatics