iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria.

Simon Roux, Antonio Pedro Camargo, Felipe H Coutinho, Shareef M Dabdoub, Bas E Dutilh, Stephen Nayfach, Andrew Tritt

April 2023 PLoS Biol

Synopsis of Social media discussions

Many discussions focus on the strengths of the iPHoP framework, including its ability to improve host predictions for viruses and its innovative use of machine learning. Phrases like 'showing far better performance' and discussions about addressing 'crucial gaps' indicate an enthusiastic tone and a recognition of the framework's promising applications. The choice of positive and assertive language suggests a strong belief in its utility and significance in the field.

A
Agreement
 Moderate agreement

The majority of posts indicate support for the ideas presented in the publication, highlighting its innovative approach to virus-host prediction.

I
Interest
 High level of interest

There is a high level of curiosity, as many users express enthusiasm and inquiry about the new framework and its implications.

E
Engagement
 Moderate level of engagement

While some posts provide additional commentary on the methods used, the depth of engagement remains moderate, with users not deeply delving into detailed analysis.

I
Impact
 High level of impact

Several contributors believe that the iPHoP framework has significant potential to advance research in metagenomics and virology.

Social Mentions

YouTube

1 Videos

Twitter

126 Posts

Blogs

3 Articles

News

3 Articles

Metrics

Video Views

11

Total Likes

316

Extended Reach

778,996

Social Features

133

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

iPHoP: Advanced Machine Learning for Host Prediction in Viruses

iPHoP: Advanced Machine Learning for Host Prediction in Viruses

iPHoP is a new machine learning framework designed to improve host predictions for viruses infecting bacteria and archaea using metagenomic data. This approach combines multiple methods to enhance accuracy when identifying host taxonomy at the genus level.

Social RTCL TV

September 8, 2023

11 views

  • Sam Díaz-Muñoz (they/them)
    @sociovirology (Twitter)

    @simroux_virus @simroux_virus: How do we link viruses to hosts? Many tools to predict hosts. Use all of them and put it into a magical AI/machine learning: iPHoP https://t.co/Geb9YWpqv3 #SocialViruses
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    June 7, 2024

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  • VirHostNet 2.0
    @virhostnet (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    February 6, 2024

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  • まつこ
    @ma31stm (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria https://t.co/KJ1qciJnUy https://t.co/ZGg5lWa6ds
    view full post

    August 14, 2023

  • Richard Stöckl
    @richard_stoeckl (Twitter)

    RT @GB13Faithless: And with his integrated approach iPHoP showing far better performance due to 1) including phage based methods (rafah @…
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    July 5, 2023

    2

  • Simon Roux
    @simroux_virus (Twitter)

    RT @GB13Faithless: And with his integrated approach iPHoP showing far better performance due to 1) including phage based methods (rafah @…
    view full post

    July 5, 2023

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  • PLOS Biology
    @PLOSBiology (Twitter)

    RT @vivek_mutalik: Details different method limitations in Phage host predictions & how using integrated machine learning method just publi…
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    July 4, 2023

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  • George Bouras
    @GB13Faithless (Twitter)

    And with his integrated approach iPHoP showing far better performance due to 1) including phage based methods (rafah @linsalrob) 2) a massive host database https://t.co/RvBHtpHcpG https://t.co/AU7R6fN9X5
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    July 4, 2023

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  • Vivek Mutalik
    @vivek_mutalik (Twitter)

    Details different method limitations in Phage host predictions & how using integrated machine learning method just published addresses crucial gaps @PLOSBiology https://t.co/BtIHgUmELY
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    July 4, 2023

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  • Anna Dragos
    @Anna_Dragos (Twitter)

    Also check out
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    July 4, 2023

  • Akash Shambharkar, PhD, MRSB
    @ig_8mile (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
    view full post

    May 22, 2023

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  • Shahjahon
    @ShonBegmatov (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    May 22, 2023

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  • Richard Stöckl
    @richard_stoeckl (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    May 22, 2023

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  • Afif Pranaya Jati
    @afifpj (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    May 22, 2023

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  • Ian Nunes
    @ian_valenca (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    May 22, 2023

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  • Saubashya Sur, PhD
    @SaubashyaSur (Twitter)

    RT @EVirusBioinfC: iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived…
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    May 22, 2023

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  • European Virus Bioinformatics Center
    @EVirusBioinfC (Twitter)

    iPHoP: predict the host #taxonomy for a diverse range of viruses infecting bacteria and archaea using metagenome-derived virus genomes, with low false discovery rate and high precision and recall. [co-authored by EVBC members @simroux_virus @BEDutilh] https://t.co/vXcJnwRvsI
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    May 22, 2023

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  • Subhajeet Dutta
    @Subhaje27888236 (Twitter)

    RT @ShareefDabdoub: iPHoP is out in PLoS Biology! Host prediction for uncultivated viruses using #MachineLearning https://t.co/j1dM2FcGZO…
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    May 6, 2023

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  • Bioinformatics Trends 
    @BinfoTrends (Twitter)

    RT @ShareefDabdoub: iPHoP is out in PLoS Biology! Host prediction for uncultivated viruses using #MachineLearning https://t.co/j1dM2FcGZO…
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    May 6, 2023

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  • Shareef Dabdoub
    @ShareefDabdoub (Twitter)

    iPHoP is out in PLoS Biology! Host prediction for uncultivated viruses using #MachineLearning https://t.co/j1dM2FcGZO #metagenomics #phage #Bioinformatics
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    May 6, 2023

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  • Medlog - AI in Medicine
    @medlog (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria https://t.co/J7fX7qKbTE #ai #health
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    May 5, 2023

  • Simon Zhongyuan Tian
    @TianZhongyuan (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • ZhangYongyong
    @ZhangYongyong3 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Coralie Rousseau
    @RousseauCorali1 (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 25, 2023

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  • Edgloris Marys
    @edgloris (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Antonio Camargo
    @apcamargo_ (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • National Microbiome Data Collaborative
    @MicrobiomeData (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Phage Kenya
    @PhageKenya (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Yue Clare Lou, Ph.D.
    @ClareLou9 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • lily wang
    @Lily_WangCN (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Fredmoore Orosco, PhD
    @fredmoorology (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
    view full post

    April 25, 2023

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  • MCLovin
    @Valmardon99 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Koji Yahara
    @KojiYahara (Twitter)

    RT @hlcao: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacter…
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    April 25, 2023

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  • Dina Hochhauser
    @dinahoch (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • PLOS Biology
    @PLOSBiology (Twitter)

    #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is lost. @simroux_virus &co present iPHoP, a new tool to maximize host prediction for #metagenome-assembled virus genomes #PLOSBiology https://t.co/151fqNwKuT https://t.co/TcBXbOXLL8
    view full post

    April 25, 2023

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  • Julien Limenitakis
    @jlimenitakis (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • tom delmont
    @tomodelmont (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Vincent Delafont
    @VDelafont (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Alexandre Almeida
    @alexmsalmeida (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Robertson
    @robertson_lab (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • DataCrunch_io
    @DataCrunch_io (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 25, 2023

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  • Yu Nakajima
    @nkjmu (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • PLOS Biology
    @PLOSBiology (Twitter)

    #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is lost. @simroux_virus &co present iPHoP, a new tool to maximize host prediction for #metagenome-assembled virus genomes #PLOSBiology https://t.co/151fqNwKuT https://t.co/1aRcav1v7S
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    April 25, 2023

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  • Ace Bryan Sotelo Cabal
    @ace_cabal (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Chao Xiong
    @Dr_ChaoXiong (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Wilmer Cuellar
    @WJCuellar (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Imran Khan
    @Khan47Imran (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
    view full post

    April 25, 2023

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  • Andrés Carrazco Montalvo
    @AndresRCM (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Saubashya Sur, PhD
    @SaubashyaSur (Twitter)

    RT @hlcao: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacter…
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    April 25, 2023

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  • Saubashya Sur, PhD
    @SaubashyaSur (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
    view full post

    April 25, 2023

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  • Aleksandra Stęplowska
    @stepelka (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • JeanDelmotte
    @DrStagiaire (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • Bragard
    @Bragard_C (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 25, 2023

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  • もじゃもじゃのほう (Koki Tsuyuzaki)
    @antiplastics (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Vishal Somvanshi
    @SomvanshiVS (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Global Sustainable Agriculture & Environment
    @CropGlobal (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Bio Links
    @bioliinks (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • raoyangzhi
    @raoyangzhi1125 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • XU Yangbing
    @XuOceanpioneer (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • XU Yangbing
    @XuOceanpioneer (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Prof Brajesh Singh
    @Prof_Braj_Singh (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • José Gaxiola-López
    @GAXILO (Twitter)

    #PLOSBiology: iPHoP: An integrated #machine #learning #framework to maximize #host prediction for #metagenome-derived #viruses of #archaea and #bacteria https://t.co/2E6hWG5Y4A
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    April 24, 2023

  • Vivek Mutalik
    @vivek_mutalik (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
    view full post

    April 24, 2023

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  • Kanwar
    @QamBhakt (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Chris Rinke
    @ChristianRinke (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Josué Rodríguez-Ramos
    @jrr_microbio (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Richard Stöckl
    @richard_stoeckl (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
    view full post

    April 24, 2023

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  • Rabbi Baidoo
    @RabbiBaidoo1 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Biochemist_Style
    @BiochemistStyle (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Lei Liu
    @liuleitw (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Apoorva Prabhu
    @aprabhu90 (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • John Kenny
    @jgskenny (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Bodhi Dharma
    @dharma92biol (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Gareth (Gary) Trubl
    @gtrubl (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Huiluo Cao 曹慧荦
    @hlcao (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria | PLOS Biology https://t.co/xF2NMR4FSi
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    April 24, 2023

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  • Urvish Trivedi
    @txurv (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Paul Rivarez
    @ViromeHunter (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria | PLOS Biology https://t.co/U2gBtpaTKi
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    April 24, 2023

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  • Ann Gregory, PhD
    @gregory_annc (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Gareth (Gary) Trubl
    @gtrubl (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Ryan Cook
    @RyanCookAMR (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Simon Roux
    @simroux_virus (Twitter)

    RT @PLOSBiology: #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is l…
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    April 24, 2023

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  • Francisco Davila
    @danieldavilaale (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Luis Bolaños
    @lbolanos68 (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Vivek Mutalik
    @vivek_mutalik (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • Andrew millard
    @milja001 (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • John M Hancock
    @JohnMHancock (Twitter)

    RT @jcamthrash: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and b…
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    April 24, 2023

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  • PLOS Biology
    @PLOSBiology (Twitter)

    #Viruses infecting #bacteria & #archaea are often identified via metagenomics, but information regarding #phage hosts is lost. @simroux_virus &co present iPHoP, a new tool to maximize host prediction for #metagenome-assembled virus genomes #PLOSBiology https://t.co/151fqNwKuT https://t.co/WftLzGXKzZ
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  • Cameron Thrash
    @jcamthrash (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria https://t.co/JOdOhk81KY
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    April 24, 2023

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  • Ilnam Kang
    @ilnam_kang (Twitter)

    RT @pacyc1841: » iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and…
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    April 23, 2023

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  • elaina graham
    @perilousUnknown (Twitter)

    RT @metagenomic_lit: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea…
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    April 22, 2023

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  • Microbiome Live News
    @metagenomics (Twitter)

    [PubMed] iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria https://t.co/q77C4rGL97
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  • Tominaga K. (tomiken)
    @pacyc1841 (Twitter)

    » iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria | PLOS Biology https://t.co/jp2tkQzidi
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    April 22, 2023

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  • Dataemia
    @Dataemia (Twitter)

    iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria - https://t.co/tst7AKeYFX -
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    April 22, 2023

  • Fernando Santos Sánchez
    @Fer_Nando_SS (Twitter)

    RT @metagenomic_lit: iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea…
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    April 22, 2023

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Abstract Synopsis

  • iPHoP is a new machine learning framework designed to improve predictions of hosts for viruses that infect bacteria and archaea using metagenomic data.
  • It combines multiple computational methods in a two-step process to enhance accuracy and minimize incorrect predictions when identifying host taxonomy at the genus level.
  • Based on a comprehensive dataset from the IMGVR database, iPHoP shows promising results in predicting hosts for a wide variety of uncultivated viruses, aiding in further research on these organisms.