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Online Interactive Microbial Classification and Geospatial Distributional Analysis Using BioAtlas.

Jesper Lund1, Qihua Tan1, Jan Baumbach2,3

  • 1Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.

Methods in Molecular Biology (Clifton, N.J.)
|July 22, 2018
PubMed
Summary
This summary is machine-generated.

BioAtlas integrates metagenomics databases and classification tools to map prokaryotic distributions globally and by specific environments. This interactive web tool aids in exploring microbial life across diverse locations and user-defined datasets.

Keywords:
16s geneData miningDistributional analysisIntegrationMapsMetadataMicrobiologyOnline toolRibosomal RNATaxonomic classification

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Vast amounts of 16S ribosomal RNA (rRNA) gene data are publicly available in databases like SILVA and IMG.
  • The 16S rRNA gene's hypervariable regions offer significant taxonomic classification power.
  • Existing tools for 16S rRNA gene analysis often lack integration with geospatial and body-location metadata.

Purpose of the Study:

  • To present BioAtlas, an interactive web tool designed to bridge the gap between metagenomics data, taxonomic profiling, and associated metadata.
  • To enable searching, exploring, and analyzing prokaryotic distributions using integrated resources.

Main Methods:

  • Integration of multiple metagenomics databases and taxonomic classification tools.
  • Development of an interactive web platform for data visualization and analysis.
  • Implementation of geospatial mapping and user-generated map functionalities.

Main Results:

  • BioAtlas allows users to search and explore prokaryote occurrences on a global geospatial map.
  • The tool facilitates the investigation of microbial occurrences on user-defined surface-specific maps, exemplified by a human female map.
  • Users can classify their own sequence datasets and visualize the spatial distribution of identified microbes.

Conclusions:

  • BioAtlas provides a unified platform for exploring prokaryotic diversity and distribution.
  • The tool enhances the analysis of microbial communities by integrating sequence data with location information.
  • BioAtlas supports a more comprehensive understanding of microbial ecology across various environments.