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Metagenomic Analysis of Silage
08:43

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Published on: January 13, 2017

A web-based comparative genomics tutorial for investigating microbial genomes.

Michael Strong1, Duilio Cascio, David Eisenberg

  • 1Howard Hughes Medical Institute, UCLA-DOE Institute of Genomics and Proteomics, Molecular Biology Institute, University of California, Los Angeles, Box 951570, Los Angeles, California 90095-1570.

Microbiology Education
|May 9, 2013
PubMed
Summary
This summary is machine-generated.

This tutorial introduces graduate students to comparative and functional genomics using web-based tools. Students learn computational methods to identify functionally linked genes and operon structures in microbial genomes.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Increasingly, microbial genome sequencing necessitates training in genomic analysis.
  • A foundational understanding of comparative and functional genomics is crucial for biological sciences graduate students.

Purpose of the Study:

  • To introduce first-year graduate students to comparative and functional genomics.
  • To provide hands-on experience with computational methods for gene and protein function identification.
  • To familiarize students with genome organization and operon structures.

Main Methods:

  • Developed and implemented a web-based tutorial for graduate students.
  • Focused on computational methods: Rosetta Stone, Phylogenetic Profiler, Conserved Gene Neighbor, and Operon.
  • Utilized publicly available web servers and databases for analysis of the Escherichia coli genome.

Main Results:

  • Students gained practical skills in identifying functionally linked genes and proteins.
  • Emphasis was placed on understanding genome organization and operon structure in E. coli.
  • The tutorial effectively introduced students to key genomic analysis tools and concepts.

Conclusions:

  • The web-based tutorial successfully equipped graduate students with essential genomic analysis skills.
  • The curriculum effectively integrates computational methods into biological sciences education.
  • The tutorial resource is available for broader educational adoption.