#multiomics22
Live, measured metrics for the hashtag #multiomics22 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #multiomics22
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 · mas.to (Mastodon public tags API) · fetched 2026-09-30 18:56 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-30 18:56 UTCNo related tags with measured usage found for #multiomics22.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-30 18:56 UTCEverything below is measured over the latest 13 public posts (spanning ~30 hours).
Posting hours (UTC) — busiest: 05:00
Languages: English (13)
Avg boosts / post: 0.2
Used together with
Top of the latest posts
"Integrating bulk data still hasn't been resolved" Ariane Mora from @[email protected] presenting CiRCLe, a method to identify impactful gene expression changes via integrative transcriptomic, epigenetic and proteomic data using an autoen
The legendary @[email protected] studying transcriptional regulation of neuron maturation. Previous studies confounded by complexity, limited to bulk samples and early (fetal) or latter (child/adult) stages of brain development #MultiOm
Dr Raymond Louie from @[email protected] using our RAGE-seq method to identify rogue CD4-/CD8- T-cell clones associated with rare refractory celiac disease, G&Tseq found specific SNVs that may be driving the autoimmune disease #Mul
What “multiomics22” means
WikipediaMultiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data consists of multiple "omes", such as the genome, epigenome, transcriptome, proteome, metabolome, exposome, and microbiome ; in other words, the use of multiple omics technologies to study life in a concerted way. By combining these "omes", scientists can analyze complex biological big data to find novel associations between biological entities, pinpoint relevant biomarkers an
“Multiomics” on Wikipedia (CC BY-SA) →#multiomics22 across platforms
every network with a public tag surfaceFollow #multiomics22 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/multiomics22