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Interactive Web-Based Services for Metagenomic Data Analysis and Comparisons.

Nehal Adel Abdelsalam1,2, Hajar Elshora3,4, Mohamed El-Hadidi5

  • 1University of Science and Technology, Zewail City, Giza, Egypt.

Methods in Molecular Biology (Clifton, N.J.)
|May 31, 2023
PubMed
Summary
This summary is machine-generated.

Metagenomic research generates vast data. User-friendly web tools now simplify microbial community analysis, enabling efficient exploration of ecosystem potential without coding expertise.

Keywords:
Functional metagenomicsMetagenomicsShotgun sequencingTaxonomyWeb tools

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Metagenomics, the study of microbial communities, is expanding due to accessible sequencing technologies.
  • Analyzing large metagenomic datasets presents challenges due to limited user-friendly tools.
  • Metagenomic data analysis is crucial for applications in medicine, industry, and ecology.

Purpose of the Study:

  • To introduce web-based bioinformatics tools for metagenomic data analysis.
  • To provide a guide for researchers lacking programming skills.
  • To highlight the utility of these tools in understanding microbial ecosystems.

Main Methods:

  • Review and introduction of several web-based bioinformatics services.
  • Demonstration of how these tools facilitate taxonomic classification and functional analysis.
  • Explanation of how to compare ecosystems and identify microbial interactions.

Main Results:

  • Web-based tools enable efficient analysis of metagenomic data.
  • These platforms offer user-friendly interfaces for taxonomic and functional profiling.
  • Researchers can visualize key data on microbial community composition and function.

Conclusions:

  • Web-based bioinformatics tools democratize metagenomic data analysis.
  • These resources empower researchers to explore microbial ecosystems effectively.
  • Simplified analysis accelerates discoveries in various scientific fields.