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Отчёт по гранту Реальные результаты Anshul Kundaje (anshulkundaje@blues.. @anshulkundaje Great application of DNA language models Great application of DNA language models to prokaryotic genomes. to prokaryotic genomes. Excellent impactful Excellent impactful application use cases of the model. Congrats to all the authors! application use cases of the model. Congrats to all the authors! But a quick answer to the first question. No - DNA is not all you need. 1/ background goals- methods- results-future Tweets 7

Popularity

0 views 0 sends 0 likes 0 saves
Sources & activity 1 Telegram post across 1 channel 7K views 96 reactions 18 reposts 0 recorded signals

Observed Telegram posts

Every public-crawler post we observed for this meme. Totals add only known counters; “Unknown” means Telegram did not expose a value, not zero.

Showing 1–1 of 1

Labrats

@rlabrats

Published Apr 19, 2024

Open Telegram post ↗
Views6,950
Reactions96
Comments0
Reposts18

Interaction rate 1.64% · Audience at publish Unknown · Views per 1,000 subscribers Unknown

Counters frozen at this list snapshot: Sep 8, 2026, 7:28 AM UTC.

For social media specialists Professional analytics Trends, normalized performance, channel-audience context, and separate web/Telegram funnels.

Recorded activity counts observable signals, not unique people or reach. Impressions, inline results, comments, downloads, and subscriber counts remain separate from Recorded activity and popularity.

Refreshed Sep 8, 2026, 7:28 AM UTC

History is still sparse. Totals are real, but trend comparisons need more observations and should be read cautiously.

Recorded activity

0

0 per day

7-day momentum

0

Unknown vs previous 7 days

Peak bucket

Unknown

More history needed

Current favorites

0

Current state, outside the selected-period total

Recorded activity · signals per day Each day, week, or month bucket is divided by its duration so adaptive all-time history remains comparable. Downloads stay excluded; exact bucket totals follow below.

Not enough activity history yet

At least two buckets, including one with Recorded activity, are needed for a trend line. Exact zero and raw-total buckets remain in the data table.

Telegram counter
Observed Telegram views Absolute server-bucketed end states, stamped at the last real capture in each bucket; the opening baseline is as of the range start. Missing values break the line.

Not enough known views yet

At least two known bucket-end values are needed for a line. Switch counters or return after more observations.

View chart data
Exact Recorded activity buckets
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Server-bucketed Telegram end states at the last capture in each bucket
Observed / as ofViewsReactionsCommentsReposts
6,95096018

Telegram performance

Current observed totals and ratio-of-sums over eligible posts.

7K views · 96 reactions · 18 reposts

Reaction rate
1.38% · 1 of 1 posts eligible
Comment rate
0% · 1 of 1 posts eligible
Repost rate
0.26% · 1 of 1 posts eligible
Combined interaction rate
1.64% · 1 of 1 posts eligible

Channel audience context

Forward-only subscriber observations; today’s audience is never applied to historical posts.

Current audience known
1 of 1 channels
Comparable channels in range
1
Known subscriber change
0
Views per 1,000 subscribers
Unknown · 0 of 1 posts eligible
Interactions per 1,000 subscribers
Unknown · 0 of 1 posts eligible

Exposure funnels

Distinct matched exposure tokens, split by surface. These figures do not enter Recorded activity.

Web cards

0 impressions · 0 attributed

0 detail clicks (Unknown)

0 high-intent actions (Unknown)

Telegram inline

0 results served · 0 attributed

0 chosen (Unknown)

0 sent (Unknown)

Coverage is partial whenever a counter or subscriber snapshot was unavailable. Source totals are sums of known post counters and may overlap across channels; they are neither unique viewers nor estimated reach. Downloads in this range: 0.

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