#codons

Live, measured metrics for the hashtag #codons from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
1
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 01:02 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 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 2026-07-28 01:02 UTC

No related tags with measured usage found for #codons.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 01:02 UTC

Everything below is measured over the latest 3 public posts (spanning ~28813 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0.7

Top of the latest posts

  • Ribosome pausing, ribosome drop-off, an interesting study in the links between codons and translation in S. cerevisiae: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1012162 #science #ribosome #rna #codons

    Cosmin Saveanu@[email protected]♥ 2↻ 12026-06-15 06:29 UTCView post →

  • Short blog post about an R script that allows to optimize codons for reliable heterologous protein expression in various hosts. Requires a table of frequencies for allocation of codons to aminoacids for a given protein sequence. https://cos

    Cosmin Saveanu@[email protected]♥ 1↻ 12023-03-28 08:08 UTCView post →

  • The *split-apply-combine* method for data analysis is powerful. It is brilliantly used in the `dplyr` package and all over the `tidyverse` but base #R also works. For example, for a table of codon frequencies with column "count" and column

    Cosmin Saveanu@[email protected]♥ 0↻ 02023-03-02 17:25 UTCView post →

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/codons