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Channel

BioinformaticsCollege

@BioinformaticsCollege

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

4,138subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001283457623
TypeChannel
Username@BioinformaticsCollege
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 17 August 2026
On Telegramt.me/BioinformaticsCollege

Growth

4,1384,1424,1407 August 2026 — 4,141 subscribers7 August 2026 — 4,141 subscribers7 August 2026 — 4,140 subscribers11 August 2026 — 4,142 subscribers14 August 2026 — 4,138 subscribers7 August 202614 August 2026
5 measurements spanning 8 days, net -3. 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 4,137–4,143 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:584,138-4
11 Aug 2026, 07:114,142+2
7 Aug 2026, 21:224,140-1
7 Aug 2026, 00:304,141no change
7 Aug 2026, 00:234,141first reading

Engagement

20 posts held, back to 20 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.93%
avg views ÷ 4,138 subscribers
Avg views / post
328
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (20 November 20256 August 2026)
Views total328
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:16 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.

What this channel posts

Video runtime
43m 39s
Average length
8m 44s

Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

6 Aug 2026, 02:27 UTC328 viewsread 8 August 2026
Photo

Migraine is often described as a headache disorder, but for many people it affects much more than pain. Migraine can involve sensory sensitivity, fatigue, mood changes, and cognitive symptoms, often described as “brain fog,” slowed thinking, trouble concentrating, or forgetfulness. These symptoms can interfere with work, school, family life, and daily self-management, but they are also hard to study. A clinic visit c

12 Jul 2026, 19:12 UTC935 viewsread 8 August 2026
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#مقاله_های_کالج_بیوانفورماتیک Quantifying Migraine’s Cognitive Toll: Real-world Evidence from the MIND Cohort, Neurology, 2026 https://doi.org/10.1212/WNL.0000000000216473 Objective To evaluate whether daily smartphone-based cognitive tests detect objective cognitive slowing on migraine headache days compared with non-headache days. Background Patients with migraine often experience episodic cognitive difficulties, p

5 Jul 2026, 23:49 UTC≈1,110 viewsread 8 August 2026
Video

#دوره_تخصصی_بیوانفورماتیک 🎥 فیلم آموزش متاآنالیز داده های ترنسکریپتومیکس لینک فیلم معرفی دوره: https://youtu.be/plKupvG4VIY ⚡️آموزش نحوه تبدیل آیدیهای مختلف ژنها به یکدیگر ⚡️آموزش نحوه متاآنالیز داده های ترنسکریپتومیکس مقالات مختلف و بدست آوردن دگهای اینتگریت شده و رسم ون دیاگرام نتایج ⏳ طول دوره : ۴ جلسه ⚡ هزینه دوره: ۸۹۰ هزار تومان 🎓 با ارائه سرتیفیکیت انگلیسی از دانشگاه علوم پزشکی شهید بهشتی ⚡️برای دیدن لیست کامل

1 Jul 2026, 18:58 UTC≈1,080 viewsread 8 August 2026
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🧬 Can your APOE type affect how your brain cells age? A new study in Nature Medicine suggests that APOE may influence the biological aging of specific cell types linked to brain health. Researchers analyzed 7,000+ blood proteins from more than 60,000 people and found that blood-based protein patterns can estimate how “old” different cell types appear biologically. 🔹 APOE4 carriers tended to have older astrocytes 🔹 AP

25 Jun 2026, 05:52 UTC≈1,150 viewsread 8 August 2026

💥شروع مدرسه تابستانی بیوانفورماتیک💥 مدرسه تابستانی بیوانفورماتیک از فردا ساعت 🕗 ۸ الی ۹:۳۰ صبح 🕥 برگزار خواهد شد. لینک گوگل میت کلاس ساعت ۸ صبح جمعه به وقت ایران در گروه کلاس گذاشته خواهد شد.

24 Jun 2026, 14:25 UTC≈1,100 viewsread 8 August 2026
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☄مدرسه بیوانفورماتیک آنالیز بقا بیماران سرطانی ⚡️در این دوره بطورکامل نحوه انجام یک پروژه بیوانفورماتیکی درحوزه سرطان برای بدست آوردن علل مرتبط با بیماری و میزان اسوسیشن هر یک، و همچنین آنالیز سروایول بطورکامل تئوری وهم با کدنویسی آموزش داده میشود. نتایج در قالب مقاله چاپ خواهد شد ⚡️در این دوره رگرشن خطی، لاجستیک رگرشن، کاکس رگرشن، کاپلان مایر و همچنین تستهای مختلف آماری نظیر تی تست، آنووا، منویتنی، ویلکاکسون آموزش د

21 Jun 2026, 19:40 UTC≈1,110 viewsread 8 August 2026
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#مقاله_های_کالج_بیوانفورماتیک Evaluating the Relationship Between Cognitive Function Index and TICS-m in Detecting Cognitive Impairment: Preliminary Results from the Remote-CARE Study, Alzheimer Association, 2025 The Cognitive Function Index (CFI) and the Modified Telephone Interview for Cognitive Status (TICS-m) are widely used tools for cognitive screening in older adults. TICS-m is an examiner-administered, object

19 Jun 2026, 18:22 UTC≈1,010 viewsread 8 August 2026
Video

#دوره_تخصصی_بیوانفورماتیک 🎥فیلم کامل ۴ دوره تخصصی Rnaseq لینک فیلم معرفی دوره:https://youtu.be/q0wlo3OZ45w ⚡در دوره اول، مفاهیم اولیه NGS، انواع پایگاه داده ها، نحوه دانلود داده ها در لینوکس، نصب و اجرای نرم افزارهای کنترل کیفیت تحت لینوکس و پیش پردازش داده ها به طور کامل آموزش داده میشود ⚡در دوره دوم نحوه مپینگ دیتا روی ژنوم و خواندن ریدها و ایجاد کانت فایل آموزش داده میشود ⚡در دوره سوم نحوه ایجاد کانت ماتریکس و آنا

18 Jun 2026, 15:21 UTC≈1,100 viewsread 8 August 2026
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#Lecture Seizures After Stroke: Are We Overtreating, Undertreating, or Both? Dr. Shahab Khazanehdari, M.D Neurology - Neurocritical Care, Community Neurosciences Institute Clinical Assistant Professor, California Health Sciences University, College of Osteopathic Medicine, Fresno, California پنجشنبه ۲۸ خرداد ساعت ۱۰:۳۰ شب به وقت ایران لینک جلسه: https://ucihealth.zoom.us/j/98445948495?pwd=T3tuHik1KfT0F2vq2eaRYaH8YVTL

11 Jun 2026, 14:54 UTC≈1,390 viewsread 8 August 2026
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#مقاله_های_کالج_بیوانفورماتیک Sex and Age Differences in the Association of Serum GFAP Levels with Cognitive Decline in Cognitively Unimpaired Individuals: Results from the A4 Study, AAIC, 2025 Inflammation plays a central role in Alzheimer’s Disease (AD) pathology and may contribute to sex differences in AD risk. Elevated levels of glial fibrillary acidic protein (GFAP), a marker of astrocytic reactivity, have been

7 Jun 2026, 19:35 UTC≈1,640 viewsread 8 August 2026
Video

#دوره_تخصصی_بیوانفورماتیک 🎥 فیلم آموزش آنالیز داده های مایکرواری لینک فیلم معرفی دوره:https://youtu.be/rrB0EofHXMA ⚡️آموزش دانلود و خوانش داده های خام در آر، نرمال سازی، بررسی کیفیت داده ها، فیلتر نمودن داده ها، بررسی تغییرات بیان ژنها بین گروه های مختلف و آنالیزهای آماری و رسم نتایج در قالب هیستوگرام، اسکترپلات، ولکانوپلات، ترکیب نتایج داده های مختلف و رسم ون دیاگرام، انریچمنت جین آنتولوژی و کگ پسوی ⏳بیش از ۴۰۰ دقیق

6 Jan 2026, 01:33 UTC≈3,170 viewsread 8 August 2026
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#Lecture Ocular Plastics Subspecialty Prof Lilangi S. Ediriwickrema, MD Associate Professor, Department of Ophthalmology and Visual Sciences, UC Irvine School of Medicine پنجشنبه ۱۸ دی ساعت ۵:۳۰ صبح به وقت ایران لینک جلسه: https://ucihealth.zoom.us/j/94649905805?pwd=1VBo4uv7koRrKKV4utajXNVtJkuK3p.1 لینکهای کانال کالج بایوانفورماتیک یوتیوب www.youtube.com/c/BioinformaticsCollege اینستاگرام Instagram.com/bioinformatics

Showing the 12 most recent of 20 posts we hold for @BioinformaticsCollege. 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.

Citation-graph rank

Citation-graph rank — 56,007 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 registered channels — 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.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“BioinformaticsCollege” (@BioinformaticsCollege), 4,138 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/BioinformaticsCollege.

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.