#bioinformaticians
Live, measured metrics for the hashtag #bioinformaticians from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bioinformaticians
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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-26 21:54 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-26 21:54 UTCNo related tags with measured usage found for #bioinformaticians.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-26 21:54 UTCEverything below is measured over the latest 16 public posts (spanning ~26114 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (15) · Catalan (1)
Avg boosts / post: 1.5
Top of the latest posts
@tommytang.bsky.social On #ComputerLanguages for #Bioinformatics There is an era of #Bioinformaticians who learned #R #RLang back when #Python #PythonLang wasn't very good at statistics/plotting. More recently, the trend has shifted towards
I feel so lucky to be a group leader with time to work instead of just doing bureaucracy. Don’t get me wrong, I still order reagents, check our funds, and mentor students. I decided to reduce grant applications to focus more on #research. I
What are your day-to-day activities? How do you a keep work-life balance in this role? What interests you most / find satisfying about this role? What are the key challenges you faced in this profession? These are some questions I will answ
What “bioinformaticians” means
WikipediaBioinformatics 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) →#bioinformaticians across platforms
every network with a public tag surfaceFollow #bioinformaticians 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/bioinformaticians