Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using New Technology).

Ambrosio Torres, Pablo A Goloboff, Santiago A Catalano

February 2022

Synopsis of Social media discussions

The discussions reflect a mainly supportive tone, with mentions of the article's focus on efficient phylogenomic analysis and practical scripting guides, using words like 'useful' and 'guidelines.' Some examples include references to 'speed,' 'versatility,' and 'helpful tutorials,' which highlight appreciation for the article's practical value and technical depth, although the tone remains cautious and academic.

A
Agreement
 Moderate agreement

Most discussions acknowledge the usefulness of the publication, implying general support for its methods and conclusions.

I
Interest
 Moderate level of interest

Participants show moderate interest, indicated by their engagement with specific tools and guides related to TNT.

E
Engagement
 Moderate level of engagement

Some users reference the technical aspects and potential applications, suggesting a reasonable level of deeper engagement.

I
Impact
 Neutral impact

The overall influence appears limited to the scholarly community, without widespread discourse on broader implications.

Social Mentions

YouTube

2 Videos

Twitter

5 Posts

Metrics

Video Views

4,478

Total Likes

42

Extended Reach

6,139

Social Features

7

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Efficient Phylogenetic Analysis in TNT Using Batch Commands

Efficient Phylogenetic Analysis in TNT Using Batch Commands

This video demonstrates how to use text file commands in TNT to analyze multiple datasets sequentially, saving results to text files. It provides guidance on conducting comprehensive phylogenomic analyses with a focus on speed and efficiency.

Robert Asher

September 24, 2021

3,758 views

Extracting Elements from Text Files in R for Phylogenetic Analysis

Extracting Elements from Text Files in R for Phylogenetic Analysis

This video demonstrates how to use R and the ape package to extract strict consensus trees from plaintext TNT output files, showcasing techniques applicable to any text content for phylogenetic analysis.

Robert Asher

March 8, 2023

720 views

  • Peter Michalik
    @pmichalik76 (Twitter)

    RT @CladisticsAlert: Early View: Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using…
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    July 22, 2021

    5

  • Valentina Segura
    @ValuSure (Twitter)

    RT @CladisticsAlert: Early View: Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using…
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    July 20, 2021

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  • Santiago Catalano
    @sacatalano (Twitter)

    RT @CladisticsAlert: Early View: Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using…
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    July 20, 2021

    5

  • Juriya Okayasu
    @mutillidologist (Twitter)

    RT @CladisticsAlert: Early View: Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using…
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    July 20, 2021

    5

  • Cladistics Journal Alert
    @CladisticsAlert (Twitter)

    Early View: Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using New Technology) Ambrosio Torres, Pablo A. Goloboff, Santiago A. Catalano https://t.co/LHC80n71bo
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    July 20, 2021

    8

    5

Abstract Synopsis

  • This text provides an overview of using TNT (Tree Analysis using New Technology), a software for parsimony-based phylogenomic analysis, emphasizing its speed, efficiency, and versatility for analyzing large datasets with missing data.
  • It highlights the advantages of parsimony methods over model-based approaches, especially in handling high heterotachy and missing data, and discusses how TNT scripts facilitate various steps such as data concatenation, support calculation, and phylogenetic tree reconstruction, supported by video tutorials.
  • The document aims to guide users in performing comprehensive phylogenomic analyses using TNT, detailing commands and functions to optimize the process and interpret differences in phylogenetic trees effectively.]