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ASaiM: a Galaxy-based framework to analyze microbiota data.

Bérénice Batut1,2, Kévin Gravouil1,3,4,5, Clémence Defois1,3

  • 1Université Clermont Auvergne, EA 4678 CIDAM, 63000 Clermont-Ferrand, France (previous address).

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Summary
This summary is machine-generated.

ASaiM is a new, open-source framework for analyzing complex microbial communities using metagenomics and metatranscriptomics data. This user-friendly tool simplifies data exploration and visualization for researchers studying microbiota.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Advancements in sequencing technologies have accelerated progress in metagenomics and metatranscriptomics.
  • Investigating complex microbial communities requires integrating multiple bioinformatics tools.
  • A need exists for modular, user-friendly tools to enhance microbiota data analysis.

Purpose of the Study:

  • To develop ASaiM, an open-source Galaxy-based framework for microbiota data analysis.
  • To provide a comprehensive suite of tools for assembling, extracting, exploring, and visualizing microbiota data.
  • To offer customizable workflows, tutorials, and interactive guides for seamless data analysis.

Main Methods:

  • ASaiM is implemented as a Galaxy Docker flavour, ensuring scalability and accessibility.
  • It integrates a wide array of tools for processing metataxonomic, metagenomic, and metatranscriptomic sequences.
  • The framework includes customizable workflows, tutorials, and Galaxy interactive tours.

Main Results:

  • ASaiM offers an extensive collection of tools for microbiota data analysis.
  • The framework supports raw sequence data from metataxonomic, metagenomic, and metatranscriptomic studies.
  • It is scalable for large datasets and usable on personal computers.

Conclusions:

  • ASaiM provides a sophisticated, user-friendly environment for analyzing complex microbial communities.
  • The framework enhances the ease, speed, transparency, reproducibility, and shareability of microbiota data analysis.
  • ASaiM empowers scientists by simplifying the exploration and interpretation of microbiota data.