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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Updated: Dec 31, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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GenePiper, a Graphical User Interface Tool for Microbiome Sequence Data Mining.

W M Tong1, Yuki Chan2

  • 1Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR.

Microbiology Resource Announcements
|January 4, 2020
PubMed
Summary
This summary is machine-generated.

GenePiper is a new R Shiny application for analyzing microbiome data from 16S rRNA gene sequencing. It offers an intuitive interface and diverse analytical tools for offline microbiome assessments.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Amplicon sequencing of the 16S rRNA gene is a standard method for microbiome analysis.
  • Existing tools may lack user-friendliness or comprehensive features for offline analysis.

Purpose of the Study:

  • To introduce GenePiper, an open-source R Shiny application for microbiome data analysis.
  • To provide an accessible and versatile platform for researchers conducting 16S rRNA gene sequencing studies.

Main Methods:

  • Development of an R Shiny application named GenePiper.
  • Integration of a user-friendly interface for microbiome data analysis.
  • Inclusion of a wide range of analytical methods and optimized graphical outputs.

Main Results:

  • GenePiper offers an easy-to-use interface for offline microbiome data analyses.
  • The application provides optimized graphical outputs for clear data visualization.
  • It supports a broad spectrum of analytical approaches for microbiome research.

Conclusions:

  • GenePiper enhances the accessibility and efficiency of microbiome data analysis.
  • The application serves as a valuable tool for researchers utilizing 16S rRNA gene sequencing.
  • Its open-source nature promotes wider adoption and potential for future development.