The virtual microbiome: A computational framework to evaluate microbiome analyses.

Belén Serrano-Antón, Francisco Rodríguez-Ventura, Pere Colomer-Vidal, Riccardo Aiese Cigliano, Clemente F Arias, Federica Bertocchini

February 2023

Synopsis of Social media discussions

Discussions highlight the significance of developing a virtual microbiome to improve analysis accuracy, with references to the publication's focus on database limitations and the need for better interpretation methods. Phrases like 'falsely detect species' and mentions of expanding genomic databases suggest an appreciation of the research's practical impact and challenges, demonstrating moderate engagement and agreement.

A
Agreement
 Moderate agreement

Most discussions recognize the value of the proposed computational framework and agree on its relevance to current microbiome analysis challenges.

I
Interest
 Moderate level of interest

Participants show moderate curiosity, engaging with the technical aspects and potential limitations, but without a highly enthusiastic tone.

E
Engagement
 Moderate level of engagement

Posts include references to specific media outlets, authors, and technical details, indicating a thoughtful level of engagement.

I
Impact
 Moderate level of impact

The conversations reflect an understanding that the framework could influence future research and address issues like species detection accuracy.

Social Mentions

YouTube

2 Videos

Twitter

7 Posts

News

3 Articles

Metrics

Video Views

144

Total Likes

16

Extended Reach

1,025,550

Social Features

12

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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  • Reddit Journal of Science
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    The virtual microbiome: A computational framework to evaluate microbiome analyses https://t.co/Cy1iGqSycs #science #biology #microbiome #framework #analyses
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    March 19, 2023

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    The virtual microbiome: A computational framework to evaluate microbiome analyses | PLOS ONE https://t.co/NdPFxLbQiP
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    The virtual microbiome: a computational framework to evaluate microbiome analyses. - Serrano-Antón B et al. - https://t.co/zaMzYWJQAG #microbiome
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    February 8, 2023

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  • TrollColors
    @TrollColors (Twitter)

    RT @physorg_com: Current #microbiome analyses may falsely detect species that are not actually present @plos @PLOSONE https://t.co/rvk4BGvD…
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    February 8, 2023

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    RT @physorg_com: Current #microbiome analyses may falsely detect species that are not actually present @plos @PLOSONE https://t.co/rvk4BGvD…
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    February 8, 2023

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  • Phys.org
    @physorg_com (Twitter)

    Current #microbiome analyses may falsely detect species that are not actually present @plos @PLOSONE https://t.co/rvk4BGvDmb https://t.co/Q6W2fYSd9j
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    February 8, 2023

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Abstract Synopsis

  • The study introduces a computational method to create virtual microbiomes that mimic real microbial communities, helping researchers evaluate how accurately current DNA-based analysis methods reflect reality.
  • It found that the reliability of microbiome data is often limited by the amount of genomic information in databases, which can lead to inaccuracies in identifying microbial populations.
  • To improve microbiome analysis, the authors suggest focusing on expanding genomic databases and enhancing methods for interpreting this data, to reduce uncertainty and increase confidence in microbiome studies.