Synopsis of Social media discussions

Overall, the discussions reveal a positive reception, emphasizing the innovative integration of machine learning with enhancer research. Words like 'decoding,' 'high-throughput,' and hashtag references to AI suggest excitement and recognition of technological importance. The tone is professional yet optimistic, highlighting the article’s potential to deepen understanding and accelerate discoveries in gene regulation.

A
Agreement
Moderate agreement

Most discussions acknowledge the importance of advancing understanding of enhancer complexity through innovative methods like machine learning, suggesting a general agreement with the publication's contribution.

I
Interest
High level of interest

The posts express curiosity about the field, with multiple mentions of keywords like 'machine learning' and 'high-throughput discovery,' indicating a high level of interest.

E
Engagement
Moderate level of engagement

Participants reference the methods and implications of the research, such as the role of AI and synthetic biology, showing they are engaging beyond superficial mention.

I
Impact
Moderate level of impact

The perception of the publication's impact is moderate, with comments hinting at its potential to inform future research but not explicitly claiming it will revolutionize the field.

Social Mentions

YouTube

1 Videos

Bluesky

1 Posts

Twitter

42 Posts

Metrics

Video Views

17

Total Likes

150

Extended Reach

75,472

Social Features

44

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Decoding Enhancer Complexity Using Machine Learning and High-Throughput Methods

Decoding Enhancer Complexity Using Machine Learning and High-Throughput Methods

Enhancers are DNA elements that regulate gene expression, but their complex structure makes them difficult to understand. Advances in machine learning and synthetic biology are providing new tools to explore their functions.

September 2, 2023

17 views


  • Dan (田上英明)
    @gatnad1 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Xiaojing _Li
    @Juliana68725029 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Merisa Cenanovic
    @MerisaCenanovic (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Wengang Zhang
    @WZ19911 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Gaurav Jain
    @gauravjain49 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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    @Phenomics_J (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Toheeb A. Jumah
    @toheebjumah (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Saubashya Sur, PhD
    @SaubashyaSur (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • AiiHC International Ltd.
    @AiihcLtd2022 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Winty
    @winty_updates (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • KarliStorm
    @StormKarli (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Thussapon Punjad
    @VolThuss (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 22, 2023

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  • Roberto Giovannoni
    @rgiovannoni (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • Ajitesh Shukla
    @ajitesh_shukla7 (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • Seungho Oh @seunghooh@genomic.social
    @dancewithsun (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • Robin Canac
    @robin_canac (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • Umesh Bhattarai
    @ChemoUmesh (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • Cheng Tan
    @OiniL (Twitter)

    RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
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    May 21, 2023

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  • BioDecoded
    @BioDecoded (Twitter)

    Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD #MachineLearning https://t.co/N7J9hSxaj8
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    May 21, 2023

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  • Victor V. Lobanenkov
    @boris_ctcf (Twitter)

    Decoding enhancer complexity with machine learning and high-throughput discovery. Genome Biol 24, 116 (May 2023). https://t.co/vu3gLqDw9q https://t.co/SECw35Qklz
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    May 16, 2023

  • Cheng Tan
    @OiniL (Twitter)

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    @mitramith (Twitter)

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    @VictorChangInst (Twitter)

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    @blackbox_pi (Twitter)

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    @pepeluisrr (Twitter)

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    @GB_sci (Twitter)

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    @bdean_ (Twitter)

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  • Prof Mary J. O'Connell
    @Evol_Molly (Twitter)

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    @JakkeNeiro (Twitter)

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    @kailong_li_lab (Twitter)

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    @dpolychr2 (Twitter)

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    @elezzx2020 (Twitter)

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    @UmutDisel (Twitter)

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    @russelltyjor (Twitter)

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    @mikelove (Twitter)

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    @faguilgen (Twitter)

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    @drjosephpowell (Twitter)

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    @JosBowles (Twitter)

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    @rhyscienceallan (Twitter)

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    @em6wong (Twitter)


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  • Victor Chang Cardiac Research Institute
    @VictorChangInst (Twitter)

    #RecentlyPublished Decoding enhancer complexity with machine learning and high-throughput discovery https://t.co/o3CcQlYzxy
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    May 13, 2023

  • Victor Chang Cardiac Research Institute
    @victorchang.edu.au (Bluesky)

    #RecentlyPublished Decoding enhancer complexity with machine learning and high-throughput discovery pubmed.ncbi.nlm.nih.gov/37173718/?utm_…
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    May 13, 2023

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    May 12, 2023

Abstract Synopsis

  • Enhancers are DNA elements that regulate when and where genes are expressed, but their complex structure and overlapping functions make it hard to understand how they work.
  • The article reviews current knowledge on how enhancers are organized and have evolved, highlighting the various factors that affect their function.
  • Advances in machine learning and synthetic biology offer promising new tools for exploring and clarifying the complexities of enhancer roles in gene expression.