Telegram RegisterThe public register of Telegram
Telegram profile photo for Bioinformatics

Channel

Bioinformatics

@Bioinformatics

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

17,438subscribers

+250 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001005754065
TypeChannel
Username@Bioinformatics
Created26 September 2015measured — cross-checked against a third-party dataset (TGDataset)
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Bioinformatics

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

17,18817,43817,3137 August 2026 — 17,188 subscribers7 August 2026 — 17,188 subscribers8 August 2026 — 17,194 subscribers9 August 2026 — 17,204 subscribers9 August 2026 — 17,209 subscribers10 August 2026 — 17,212 subscribers12 August 2026 — 17,219 subscribers13 August 2026 — 17,220 subscribers14 August 2026 — 17,237 subscribers15 August 2026 — 17,249 subscribers17 August 2026 — 17,254 subscribers18 August 2026 — 17,262 subscribers19 August 2026 — 17,266 subscribers20 August 2026 — 17,267 subscribers21 August 2026 — 17,281 subscribers22 August 2026 — 17,292 subscribers24 August 2026 — 17,298 subscribers25 August 2026 — 17,315 subscribers26 August 2026 — 17,317 subscribers27 August 2026 — 17,324 subscribers28 August 2026 — 17,331 subscribers29 August 2026 — 17,334 subscribers30 August 2026 — 17,337 subscribers31 August 2026 — 17,342 subscribers1 September 2026 — 17,343 subscribers2 September 2026 — 17,349 subscribers3 September 2026 — 17,359 subscribers5 September 2026 — 17,371 subscribers8 September 2026 — 17,393 subscribers11 September 2026 — 17,410 subscribers13 September 2026 — 17,415 subscribers14 September 2026 — 17,408 subscribers16 September 2026 — 17,418 subscribers18 September 2026 — 17,438 subscribers7 August 202618 September 2026
34 measurements spanning 43 days, net +250. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 17,151–17,476 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 19:5517,438+20
16 Sept 2026, 11:3817,418+10
14 Sept 2026, 13:1817,408-7
13 Sept 2026, 02:5817,415+5
11 Sept 2026, 04:0217,410+17
8 Sept 2026, 08:3817,393+22
5 Sept 2026, 01:2217,371+12
3 Sept 2026, 06:3617,359+10
2 Sept 2026, 02:2317,349+6
1 Sept 2026, 03:5817,343+1
31 Aug 2026, 04:3817,342+5
30 Aug 2026, 07:3317,337+3
29 Aug 2026, 04:5717,334+3
28 Aug 2026, 02:5817,331+7
27 Aug 2026, 06:0417,324+7
26 Aug 2026, 04:5217,317+2
25 Aug 2026, 06:0517,315+17
24 Aug 2026, 03:0717,298+6
22 Aug 2026, 13:3917,292+11
21 Aug 2026, 02:1317,281first reading

Engagement

32 posts held, back to 20 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.07%
avg views ÷ 17,438 subscribers
Avg views / post
1,410
10 posts measured
Reaction rate
0.38%
reactions ÷ views · ER floor
Posts in window
10
of 32 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 9 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held32 (20 June 20262 September 2026)
Views total14,064
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:21 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

217 reactions across 30 posts, in 6 distinct kinds. The most used accounts for 66.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14466.4%
👍4219.4%
🔥177.83%
👏73.23%
👌52.30%
🙏20.922%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 31 of the 32 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 217 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 20 June 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

2 Sept 2026, 12:57 UTC484 views1 reactionsread 3 September 2026
Photo

📃 A Survey of Artificial Intelligence for Protein Dynamics 🗓 Publish year: 2026 🧑‍💻Authors: Haocheng Tang, Liang Shi, Ya-Shi Zhang, Xixian Liu, Jian Tang, Jiarui Lu 🏢Universities: University of Pittsburgh, Peking University, Université de Montréal / Mila - Quebec AI Institute, HEC Montréal 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #protein_dynamics #computational_biology #molecular_dynamics

1

31 Aug 2026, 09:19 UTC≈1,030 views3 reactionsread 3 September 2026
Photo

🧬 EDUGENE IS HIRING — BECOME A TUTOR! 🚀 Are you an expert in life sciences, bioinformatics, or data analytics? Share your real-world knowledge with the next generation of scientists! 🔬 Edugene is building a new way for students to learn — directly from people who work in the field, not outdated notes. 💡 🎓 We’re looking for tutors in: 🧬 Computational Biology & Bioinformatics 🧪 Synthetic Biology 🔬 Structural Biology

3

30 Aug 2026, 12:57 UTC≈1,160 viewsread 3 September 2026
Photo

📃 Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects 📙 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publish year: 2026 🧑‍💻 Authors: Md Ishtyaq Mahmud, Tania Banerjee 🏢 University: University of Houston, USA 📎 Study the paper 📲 Channel: @Bioinformatics #review #ai #genomics #machine_learning

29 Aug 2026, 07:57 UTC≈1,470 views0 reactionsread 3 September 2026

🧬🇫🇮 Postdoctoral Opportunity in Bioinformatics & Cancer Research at the University of Helsinki! 🚀 🔬 Position: Postdoctoral Researcher / Bioinformatician in Cancer Research 🏛 University: University of Helsinki, Finland 🧬 Research focus: Single-cell & multi-omic analyses, cancer biology, gene regulation, and treatment resistance in ovarian cancer 🎓 Eligibility: PhD in Bioinformatics, Computational Biology, Systems Bi

29 Aug 2026, 04:13 UTC≈1,240 views7 reactionsread 3 September 2026
Photo

📑 Bioinformatics tools, databases, and data formats: a functional overview for introductory sequence-based and NGS workflows 📓 Journal: Applied Sciences (I.F.: 2.9) 🗓 Publish year: 2026 🧑‍💻 Authors: Inês Domingues, João A. M. Santos 🏢 Universities: Portuguese Oncology Institute of Porto & Porto Comprehensive Cancer Center (Porto.CCC) & Universidade do Porto, Portugal 📎 Study the paper: https://www.mdpi.com/2076-34

👍61

26 Aug 2026, 09:38 UTC≈1,610 views5 reactionsread 3 September 2026
Photo

📃 New genomic and proteomic biomarker discovery in cancer: revolutionizing diagnosis and prognostication 📕 Journal: World Journal of Surgical Oncology (IF: 2.8) 🗓 Publish year: 2026 🧑‍💻 Authors: Monika Rajput, Manoj Pandey, Ruhi Dixit 🏢 Affiliation: Banaras Hindu University, India 📎 Study the paper 📲 Channel: @Bioinformatics #review #cancer #biomarkers #multiomics #ai #genomics #proteomics

3👍2

25 Aug 2026, 05:18 UTC≈1,640 views10 reactionsread 3 September 2026
Photo

🧬 One workspace for your entire analysis. Bioinformatics should not mean juggling scripts, servers, databases, and five browser tabs. Pan.bio is an end to end, AI powered bioinformatics platform built for researchers, students, and small biotech teams 📓 Notebooks, Python and R sessions in the cloud with your data sitting next to your code 🤖 bioMind, your AI assistant inside the notebook. Ask in plain language, an

8👍2

25 Aug 2026, 05:12 UTC≈1,430 views9 reactionsread 3 September 2026
Photo

📄 Generative AI for synthetic biology: Designing biological parts, circuits, and genomes 📘 Journal: Cell Systems (I.F.=7.5) 🗓Publish year: 2026 🧑‍💻Author: Nayoung Kim, Giuliano De Carluccio, Kehan Zhang, ... 🏢University: Harvard University, USA 📎 Study the paper 📲Channel: @Bioinformatics #perspective #ai #synthetic_biology

6👍3

23 Aug 2026, 12:45 UTC≈1,760 views3 reactionsread 3 September 2026
Forwarded from @complexnetworkanalysisPhoto

📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in Bioinformatics (Impact Factor: 7.3, Q1) 🗓 2026 🧑‍💻 Thanh Nguyen , Hien Minh To , Duy Anh Nguyen ,... 🏢 Nanyang Biologics, Singapore 📎 Study the paper ⚡️ @ComplexNetworkAnalysis #review #drug_target #bipartite

3

21 Aug 2026, 13:16 UTC≈2,240 views11 reactionsread 3 September 2026

📽 29 AI - Web Tools for Biologists, Biotechnologist, Bioinformatics 🎞 Watch 📲Channel: @Bioinformatics #video #ai #tool

11

17 Aug 2026, 07:25 UTC≈2,610 views4 reactionsread 3 September 2026
Photo

📃 Eras of Bioinformatics Technologies from Command-Line Interfaces to Artificial Intelligence (AI) Chatbots 📚 Journal: Briefings in Bioinformatics (IF: 7.7) 📅 Year: 2026 👥 Authors: Van Q. Truong — Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, 🇺🇸 United States Marylyn D. Ritchie — Division of Biomedical Informatics & AI, Medical University of South Carolina, Charleston, SC, 🇺🇸 U

👍31

13 Aug 2026, 18:24 UTC≈2,850 views5 reactionsread 3 September 2026
Photo

📑 A survey of models composed of graph neural networks and large language models for molecular science 📕 Journal: Bioinformatics (I.F.=5.5) 🗓 Publish year: 2026 🧑‍💻Authors: Natàlia Segura-Alabart, Francesc Serratosa 🏢University: Universitat Rovira i Virgili, Departament d'Enginyeria Informàtica i Matemàtiques, Tarragona, Catalonia, Spain 📎 Study the paper 📲Channel: @Bioinformatics #review #GNN #LLM #MolecularScie

3👍1🔥1

Showing the 12 most recent of 32 posts we hold for @Bioinformatics. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@Bioinformatics edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
17 August 2026
Most recent edit
17 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

BioTecNika
@biotecnika · 57,241
Telegram ranks this channel #1 of 87 here — alongside 86 others — read 23 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Bioinformatics” (@Bioinformatics), 17,438 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Bioinformatics.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.