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Channel

CRISPER Academy🔬

@CRISPER_academy

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

496subscribers

+0 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001294500186
TypeChannel
Username@CRISPER_academy
Created25 February 2019 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded9 August 2026
Last confirmed live17 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/CRISPER_academy

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 21 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

4954974969 August 2026 — 496 subscribers9 August 2026 — 496 subscribers25 August 2026 — 495 subscribers31 August 2026 — 497 subscribers17 September 2026 — 496 subscribers9 August 202617 September 2026
5 measurements spanning 40 days. 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 495–497 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 16:58496-1
31 Aug 2026, 08:54497+2
25 Aug 2026, 00:16495-1
9 Aug 2026, 05:52496no change
9 Aug 2026, 00:01496first reading

Engagement

12 posts held, back to 6 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 17 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

31 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 41.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1341.9%
🔥722.6%
👌412.9%
👏412.9%
💯26.45%
👍13.23%

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 9 of the 12 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 6 July 2026 to 17 July 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

17 Jul 2026, 16:08 UTC64 views3 reactionsread 9 August 2026
Forwarded from @irbiotechhousePhoto

آیا می‌دانید تفاوت یک آزمایشگاه معمولی با یک آزمایشگاه مورد تأیید رگولاتوری در چیست؟ 🔬 پاسخ، فقط تجهیزات پیشرفته نیست؛ بلکه شناخت دقیق استانداردها، اجرای صحیح کنترل کیفیت و تسلط بر مفاهیمی مانند Characterization و Specification است. به همین دلیل، نخستین دوره از مدرسه تابستانه شماره ۱ با عنوان: «اصول و کلیات کنترل کیفی انواع محصولات بیولوژیک/بیوتکنولوژی و الزامات Characterization & Specification» طراحی شده است تا …

👏1💯1🔥1

12 Jul 2026, 21:06 UTC108 views5 reactionsread 9 August 2026
File

📕 The Biology of Cancer ✍️ Robert A. Weinberg 📌اگر قرار باشد تنها یک کتاب مرجع برای شناخت زیست‌شناسی سرطان معرفی شود، بدون تردید The Biology of Cancer یکی از اولین انتخاب‌ها خواهد بود. 🔬 در این کتاب با موضوعات مهمی آشنا می‌شوید: 🔸 ویژگی‌های سلول‌های سرطانی 🔸 جهش‌های ژنتیکی و تغییرات DNA 🔸 مسیرهای پیام‌رسانی سلولی و اختلالات آن‌ها 🔸 نقش آنکوژن‌ها و ژ genes سرکوبگر تومور 🔸 تکثیر کنترل‌نشده سلول‌ها و چرخه سلولی 🔸 رگ‌زا…

❤2🔥2👌1

11 Jul 2026, 10:48 UTC100 views4 reactionsread 9 August 2026

🧪 مسیر کشف ترکیبات زیست‌فعال قارچی، از کشت تا استخراج، خالص‌سازی و آنالیز را به‌صورت کاربردی بیاموزید. 📌در این کارگاه تخصصی، با اصول استخراج متابولیت‌های ثانویه قارچی، انتخاب روش مناسب عصاره‌گیری، تکنیک‌های خالص‌سازی مانند Column Chromatography، HPLC و TLC و نحوه تحلیل نتایج در پژوهش‌های فرآورده‌های طبیعی آشنا خواهید شد. 📌این دوره برای دانشجویان، پژوهشگران و متخصصان حوزه‌های قارچ‌شناسی، میکروبیولوژی، فارماکوگنوزی، ش…

❤2👍1👏1

11 Jul 2026, 10:47 UTC81 views4 reactionsread 9 August 2026

📢 کارگاه آموزشی تخصصی 🧪 اصول استخراج و خالص‌سازی متابولیت‌های قارچی (از کشت تا آنالیز) 🎓 مدرس: دکتر زهرا تازیک 🔸دکترای تخصصی قارچ‌شناسی 🔸پست‌دکترای فارماکوگنوزی 👩‍🔬پژوهشگر در حوزه شناسایی قارچ های اندوفیت و جداسازی متابولیت های ثانویه قارچی 🔬تخصص اصلی : جدا سازی و شناسایی اندوفیت ها و متابولیت های ثانویه 📚 سرفصل‌های کارگاه: 📖 مقدمه و مبانی؛ آشنایی با متابولیت‌های ثانویه و اهمیت قارچ‌ها در تولید آنتی‌بیوتیک‌ها و …

❤2👌1👏1

11 Jul 2026, 10:47 UTC68 views3 reactionsread 9 August 2026

📢 کارگاه آموزشی تخصصی 🍄 اصول ثبت جهانی گونه جدید در قارچ‌ها (از نمونه‌برداری تا پذیرش بین‌المللی) 🎓 مدرس: دکتر زهرا تازیک 🔸دکترای تخصصی قارچ‌شناسی 🔸پست‌دکترای فارماکوگنوزی 🔬تخصص اصلی دکتر زهرا تازیک: جداسازی و شناسایی قارچ‌های اندوفیت و مطالعه متابولیت‌های ثانویه 📚 سرفصل‌های کارگاه: 📖 مقدمه؛ اهمیت تاکسونومی قارچ‌ها و اصول نام‌گذاری بر اساس قوانین بین‌المللی 🍄 جمع‌آوری نمونه، جداسازی و خالص‌سازی قارچ‌ها 🧬 اصول د…

❤1👏1🔥1

10 Jul 2026, 20:47 UTC88 views4 reactionsread 9 August 2026
File

📕 Mathematics for Machine Learning 📘 ریاضیات برای یادگیری ماشین 📌اگر می‌خواهید یادگیری ماشین را عمیق و اصولی یاد بگیرید، این کتاب یکی از بهترین منابع است. مفاهیم مهمی مثل جبر خطی، احتمال، حساب دیفرانسیل و انتگرال را با مثال‌های مرتبط با Machine Learning آموزش می‌دهد تا بهتر متوجه عملکرد الگوریتم‌ها شوید . 🎯 مناسب برای: دانشجویان، برنامه‌نویسان، علاقه‌مندان به هوش مصنوعی و یادگیری ماشین، و افرادی که می‌خواهند پایه …

❤2👌1🔥1

10 Jul 2026, 20:47 UTC52 viewsread 9 August 2026
Photo

🔺 9 منبع ضروری برای یادگیری Ai 🔻

10 Jul 2026, 08:25 UTC57 views3 reactionsread 9 August 2026
Forwarded from @irbiotechhousePhoto

👩‍🎓 مدرسه تابستانه شماره ۱ | زبان مشترک دانشگاه، صنعت و رگولاتوری ⚙️ می‌خواهید با استانداردهایی کار کنید که امروز مبنای فعالیت صنایع داروسازی و بیوتکنولوژی در سراسر جهان هستند؟ خانه بیوتکنولوژی ایران با همکاری مدرسان سازمان غذا و دارو و انجمن بیوتکنولوژی ایران، مجموعه‌ای از ۴ دوره تخصصی و کاربردی را در قالب یک مدرسه تابستانه برگزار می‌کند. محورهای اصلی: 🟢کنترل کیفی محصولات بیولوژیک و بیوتکنولوژی 🟢اصول عملیات خوب آ…

❤1👌1🔥1

6 Jul 2026, 20:42 UTC120 views4 reactionsread 9 August 2026
Photo

🐍 Python Course 🐍 📌 8 ساعت آموزش رایگان « پروژه محور » پایتون 🐍 🎓مدرس: حسین بدرنژاد 🖇️ لینک دوره آموزشی پایتون🐍 ©️ با حفظ و رعایت قانون CopyRight 🆔 @CRISPER_Academy 🆔 Instagram

❤2💯1🔥1

Showing the 12 most recent of 12 posts we hold for @CRISPER_academy. 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.

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

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.

آموزش بیوانفورماتیک کاربردی
@pishgam_bioinformatics · 21,179
Telegram ranks this channel #31 of 86 here — alongside 85 others — read 24 September 2026
کانال اتحاد زیست‌شناسان ایران
@UIBiologists · 29,855
Telegram ranks this channel #50 of 96 here — alongside 95 others — read 8 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“CRISPER Academy🔬” (@CRISPER_academy), 496 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/CRISPER_academy.

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.