Channel
@BioinfCamp
On this record: Growth · Engagement · Posts · Citations · Cite this entry
6,962subscribers
+7 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001086117587 |
|---|---|
| Type | Channel |
| Username | @BioinfCamp |
| Created | 27 May 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/BioinfCamp |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:04 | 6,962 | +9 |
| 10 Aug 2026, 02:01 | 6,953 | -3 |
| 7 Aug 2026, 01:15 | 6,956 | +1 |
| 6 Aug 2026, 17:15 | 6,955 | no change |
| 6 Aug 2026, 16:59 | 6,955 | first reading |
25 posts held, back to 17 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 10 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 25 (17 July 2026 – 11 August 2026) |
| Views total | 25,285 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 02:33 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.
🔹 به نظر شما روی این دادهها چه کاری انجام شده که چنین تغییری در توزیعِ آنها ایجاد شده؟ 🧐 🔹 چرا تو آنالیز دادهها این کار رو انجام میدیم؟ 🔹 چرا دادههای خام معمولاً در آنالیز، خروجیها و نتایج دقیق و قابل اعتمادی ارائه نمیدهند، اما پس از انجام این تغییر، تحلیلها پایدارتر، قابل مقایسهتر و قابل اعتمادتر میشوند؟ #آنالیز_داده ---------- 🆔 @BioinfCamp
معرفی G&T-seq Genome and Transcriptome sequencing یک روش تکسلولی (single-cell) برای تحلیل همزمان DNA و RNA است که به محققان اجازه میدهد تا ارتباط بین DNA و RNA در سطح یک سلول را بررسی کنند. 🔹 هدف اصلی: فهم تغییرات ژنتیکی (مانند جهشها، کپی نامبر تغییرات CNVs) و بیان ژنی (transcriptional profile) در یک سلول. کاربرد در مطالعه تنوع سلولی، سرطان، توسعه سلولی، و بیماریهای ژنتیکی. 🔹 روش کار: ابتدا سلول منفرد جداسازی…
معرفی Nano Banana 🍌 🔹 یک ابزار هوش مصنوعی برای ویرایش و ساخت تصویر با استفاده از توصیف متنی! 🔹 با Nano Banana میتونی عکسها رو بدون نیاز به مهارت طراحی یا فتوشاپ، فقط با نوشتن یک متن، تغییر بدی یا تصویر جدید بسازی. https://nanobananaimg.com #معرفی_ابزار ---------- 🆔 @BioinfCamp
لنفوسیتهای داخلاپیتلیالی یا IEL (Intraepithelial Lymphocytes) نوعی سلول ایمنی هستند که بین سلولهای اپیتلیال روده باریک قرار دارند. ویژگیها: 🔹 عمدتاً از نوع T lymphocyte هستند. 🔹 نقش مهمی در حفظ ایمنی مخاطی دارند. 🔹 اولین خط دفاعی در برابر آنتیژنها و عوامل خارجی (مثل ویروسها، باکتریها و پروتئین گلوتن) محسوب میشوند. #دانستنیها ---------- 🆔 @BioinfCamp
پایگاهداده توالیهای نوکلئوتیدی 🔸 امروز با سه مرکز در این راستا آشنا میشیم 1️⃣ GenBank 2️⃣ DDBJ 3️⃣ EMBL 🔸 دادههای جدید هر ۲۴ ساعت بین این سه پایگاه به اشتراک گذاشته میشود و دادهها را بین هم انتقال میدهند. همکاری بینالمللی پایگاههای توالیهای نوکلئوتیدی (INSDC) یک همکاری دیرین و بنیادین بین سه پایگاه داده ذکر شده در فوق میباشد. 🧑💼🤝👨💼 بنابراین دادههای هرسه بانک یکسان است و جهت امنیت و حفاظت از این دادهه…
میتونید جواب همهی سوالات آماریتون رو بصورت آنلاین پیدا کنین! با کمک سایت زیر: 🔹 https://stats.stackexchange.com/questions #معرفی_سایت #دنیای_صفر_و_یک ---------- 🆔@BioinfCamp
حق 😒 #زنگ_تفریح #دکتری #پستداک ---------- 🆔 @BioinfCamp
💥 اگه میخواین بیوشیمی رو هرجا که هستید مرور کنید و یاد بگیریدش، پیشنهاد میکنم اپلیکیشنِ learn Biochemistry را دانلود و بر روی گوشی نصب کنید #معرفی_اپلیکیشن #بیوشیمی ----------- 🆔 @BioinfCamp
🔹 در مدل سنتی پزشکی، مداخله زمانی صورت میگرفت که بیماری بروز پیدا کرده بود. 🔹 اما در رویکرد نوین، دادهها و تحلیلهای پیشرفته این امکان را فراهم میکنند که پیش از ظهور بیماری، مسیر آن تغییر کند. 🔹 پزشکی آینده یعنی پیشگیری و درمان پیش از آغاز درد. 🔹 به نظر شما بیوانفورماتیک و هوش مصنوعی در آینده پزشکی چه جایگاهی خواهند داشت؟ #بیوانفورماتیک ---------- 🆔 @BioinfCamp
چطور میشه یک ژورنال مناسب برای مقاله پیدا کنیم؟ چکیده مقالههاتون رو در سایتهای زیر وارد کنید تا این سایتها ژورنال مناسب رو بهتون پیشنهاد بون. 🔹 teachthought.com 🔹 edanzediting.com 🔹 journalfinder.elsevier.com 🔹 journalguide.com 🔹 oajse.com #معرفی_سایت #مقاله ---------- 🆔 @BioinfCamp
معرفی وبسایتهای نگارش و ویرایش متون انگلیسی 👇📝 🔹 http://hemingwayapp.com 🔹 http://writeurl.com 🔹 http://writer.bighugelabs.com 🔹 http://shutterb.org 🔹 http://openlivewriter.org 🔹 http://docs.zoho.com/writer 🔹 http://stackedit.io #معرفی_سایت ---------- 🆔 @BioinfCamp
معرفی نرمافزار آنلاین برای طراحی تتراپرایمر 👇 💎 http://primer1.soton.ac.uk/primer1.html #معرفی_سایت ---------- 🆔 @BioinfCamp
Showing the 12 most recent of 25 posts we hold for @BioinfCamp. 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 — 417,211 of 1,160,990entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“کمپ بیوانفورماتیک” (@BioinfCamp), 6,962 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/BioinfCamp.
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.