Telegram RegisterThe public register of Telegram

Channel

Master Omics

@masteromics

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

218subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003720269564
TypeChannel
Username@masteromics
DescriptionКанал магистерской программы Томского НИМЦ "Биоинформатика: мультиомика единичных клеток"
CreatedBetween 1 February 2026 and 5 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/masteromics

Growth

2186 Aug 2026, 09:02 — 218 subscribers7 Aug 2026, 03:30 — 218 subscribers6 Aug 2026, 09:027 Aug 2026, 03:30
2 measurements taken within a single day. 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 217–219 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 03:30218no change
6 Aug 2026, 09:02218first reading

Engagement

12 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
112.4%
avg views ÷ 218 subscribers
Avg views / post
245
2 posts measured
Reaction rate
2.86%
reactions ÷ views · ER floor
Posts in window
2
of 12 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 held12 (5 June 20266 August 2026)
Views total490
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 03:30 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

Photos
61
Links
32

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

91 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3942.9%
🔥2931.9%
👍1213.2%
👏44.40%
🥰44.40%
👎33.30%

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 10 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 91reactions 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 5 June 2026 to 6 August 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

6 Aug 2026, 06:36 UTC150 views6 reactionsread 7 August 2026
Photo

⚡️ Магистрант Томского НИМЦ: «К пониманию биологии через анализ больших данных» Ирина Герман, магистрант Томского НИМЦ по направлению «Биоинформатика: мультиомика единичных клеток», в интервью рассказала о пути в профессию, о том, как анализ больших данных помогает понимать механизмы развития лейкоза, почему мультиомика открывает новые горизонты в онкологии и как активный отдых помогает перезагружаться после работы.

3👏2🔥1

20 Jul 2026, 04:43 UTC340 views8 reactionsread 7 August 2026
Photo

Идет прием документов в магистратуру Томского НИМЦ! Первая в России программа "Биоинформатика. Мультиомика единичных клеток". Подготовка востребованных профессионалов, высококлассных специалистов-биоинформатиков, которые смогут проводить анализ мультиомиксных данных в соответствии с современными трендами развития биологии. Три этапа подготовки: от погружения в информационные методы обработки до специализированных

👍61🥰1

14 Jul 2026, 03:41 UTC393 views7 reactionsread 7 August 2026
Photo

Эльвира Муслимова: «Обучение в магистратуре Томского НИМЦ помогло по-новому взглянуть на результаты исследований» О своем профессиональном пути, выборе магистратуры и новых горизонтах в науке рассказала Эльвира Муслимова – кандидат медицинских наук, научный сотрудник НИИ кардиологии Томского НИМЦ, в 2025 году поступившая на программу магистратуры «Биоинформатика: мультиомика единичных клеток». «Выбор магистратуры и

7

7 Jul 2026, 11:29 UTC436 views15 reactionsread 7 August 2026
Photo

Преподаватель магистратуры Томского НИМЦ Вадим Чечехин: «Ошибки - наши лучшие учителя!» В рубрике «Наставники» - Вадим Чечехин, канд. мед. наук, преподаватель магистратуры Томского НИМЦ, старший преподаватель кафедры биохимии и регенеративной биомедицины факультета фундаментальной медицины медицинского научно-образовательного института МГУ имени М.В. Ломоносова. - Расскажите о Вашем курсе. Чему он посвящен? Какие н

🔥7👍5👏21

30 Jun 2026, 09:46 UTC≈1,360 views8 reactionsread 7 August 2026
Photo

🎓Приглашаем присоединиться к лекции в рамках магистерской программы Томского НИМЦ “Биоинформатика: Мультиомика единичных клеток”. 🧬 Тема: Предсказание времени возникновения хронических болезней на основании геномных данных 🧑‍🔬Лектор: Mykyta Artomov, Assistant Professor at the Institute for Genomic Medicine, Nationwide Children's Hospital 📅 Дата: 7 июля 🕒 Время: 20:00 Тск (16:00 Мск) 💻 Платформа: Zoom Врожденные рис

4🔥2🥰2

19 Jun 2026, 08:03 UTC≈2,280 views14 reactionsread 7 August 2026
Photo

Приглашаем присоединиться к лекции в рамках магистерской программы Томского НИМЦ “Биоинформатика: Мультиомика единичных клеток”. 🧬 Тема: Клональный анализ на уровне индивидуальных клеток на службе биологии развития 🧑‍🔬Лектор: Игорь Адамейко, Венский медицинский университет 📅 Дата: 26 июня 🕒 Время: 11:30 Мск 💻 Платформа: Zoom На лекции будут рассмотрены возможности клонального анализа на уровне индивидуальных клеток

🔥112👍1

18 Jun 2026, 08:27 UTC≈1,530 views7 reactionsread 7 August 2026
Photo

Стартует приемная кампания в магистратуру «Биоинформатика: мультиомика единичных клеток» C 20 июня открывается набор на магистерскую программу Томского НИМЦ «Биоинформатика: мультиомика единичных клеток» по направлению подготовки 06.04.01 Биология. Программа посвящена современным методам биоинформатического анализа биомедицинских данных, включая геномику, транскриптомику, технологии единичных клеток и пространственн

7

10 Jun 2026, 06:55 UTC304 views8 reactionsread 7 August 2026
Forwarded from @t_nimcPhoto

🧬Если любовь к науке и в твоей ДНК… Создавай будущее медицинской науки вместе с нами! Томский национальный исследовательский медицинский центр Российской академии наук: живое пространство науки, где рождаются открытия и где каждый шаг ведет к улучшению жизни людей 📍Наша миссия: Передовая биомедицина во имя здоровья и жизни человека Томский НИМЦ ведёт полноценную образовательную деятельность, охватывающую три ступе

7🥰1

9 Jun 2026, 07:07 UTC304 views9 reactionsread 7 August 2026
Photo

Анализ транскриптомных данных 📚 В этом семестре магистерской программы проходит курс «Анализ транскриптомных данных», который ведет Павел Ямщиков, руководитель Центра системной биоинформатики Томского НИМЦ. Курс направлен на знакомство обучающихся с концепцией анализа транскриптомных данных, включая как теоретические основы, так и практические навыки. Павел Ямщиков рассказывает: Особенностью курса является возможн

🔥81

5 Jun 2026, 05:44 UTC269 views9 reactionsread 7 August 2026
Forwarded from @bioinforussiaPhoto

Открыт набор на онлайн-программу переподготовки «Биостатистика и анализ медицинских данных»! bioinf.me/education/stat | Регистрация до 16 июля, 23:59 МСК Эта программа подойдёт тем, кто планирует развиваться в биомедицинских исследованиях, уже владеет начальными навыками статистического анализа в R, но чувствует недостаток глубины понимания применяемых методов. Мы поможем систематизировать знания, укрепить теоретич

6👎3

Showing the 12 most recent of 12 posts we hold for @masteromics. 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 — 685,004 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.

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.

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

“Master Omics” (@masteromics), 218 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/masteromics.

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.