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MetaStorm: A Public Resource for Customizable Metagenomics Annotation.

Gustavo Arango-Argoty1, Gargi Singh2, Lenwood S Heath1

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Summary

MetaStorm is a new online tool for analyzing metagenomic data. It offers customizable pipelines and enhanced visualization for better interpretation of microbial diversity and function in environmental samples.

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Area of Science:

  • Environmental science
  • Bioinformatics
  • Computational biology

Background:

  • Metagenomics research generates vast amounts of data from next-generation sequencing.
  • Current computational systems struggle with storing, analyzing, and visualizing large metagenomic datasets.
  • Existing annotation systems provide only broad classifications, insufficient for detailed environmental sample analysis.

Purpose of the Study:

  • To develop a user-friendly online metagenomic analysis server, MetaStorm.
  • To facilitate customized computational analysis and annotation of metagenomic data.
  • To address the specific challenges of analyzing environmental microbial communities.

Main Methods:

  • Developed MetaStorm, an online metagenomic analysis server.
  • Implemented two analysis pipelines: assembly-based and read annotation.
  • Enabled users to upload custom reference databases for tailored annotation.
  • Integrated enhanced interactive visualization tools.

Main Results:

  • MetaStorm allows customization of taxonomic and functional gene marker analysis.
  • Users can select assembly-based or read annotation pipelines, or both.
  • The server provides enhanced visualization for exploring annotated data at various resolutions.
  • Facilitates focused analysis relevant to environmental systems.

Conclusions:

  • MetaStorm offers a flexible and user-friendly platform for metagenomic data analysis.
  • The server enhances the interpretation of microbial diversity and function in environmental samples.
  • Customizable databases and visualization tools empower researchers to address specific questions.