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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Related Experiment Video

Updated: Jun 3, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
12:08

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

Published on: August 20, 2021

AGeS: a software system for microbial genome sequence annotation.

Kamal Kumar1, Valmik Desai, Li Cheng

  • 1DoD Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Ft. Detrick, Maryland, United States of America.

Plos One
|March 17, 2011
PubMed
Summary
This summary is machine-generated.

The Annotation of microbial Genome Sequences (AGeS) system provides a standalone, automated solution for high-throughput microbial genome annotation. It ensures rapid, accurate gene and enzyme function predictions for large-scale genomic data analysis.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Next-generation sequencing necessitates rapid, automated genome annotation.
  • Web-based services may not suit local storage and analysis of large, proprietary datasets.
  • A standalone system is needed for efficient microbial genome annotation.

Purpose of the Study:

  • To develop a standalone software application for automated microbial genome annotation.
  • To integrate bioinformatics tools and databases for high-throughput performance.
  • To provide researchers with a local solution for managing and analyzing genomic data.

Main Methods:

  • The Annotation of microbial Genome Sequences (AGeS) system was developed.
  • It incorporates a database for storing sequence and annotation data.
  • It uses the Do-It-Yourself Annotation (DIYA) framework and the Pipeline for Protein Annotation (PIPA) for gene and function prediction.
  • GBrowse is used for visualization of annotated sequences.

Main Results:

  • The AGeS system demonstrated high-throughput performance for bacterial genome annotation.
  • Annotations showed >94% overlap in gene identification compared to other methods.
  • There was significant agreement in annotated features and >90% agreement in enzyme function predictions.

Conclusions:

  • The AGeS system offers a robust, automated solution for microbial genome annotation.
  • Its integrated pipeline and database facilitate efficient local data analysis.
  • The system provides accurate gene and function predictions, comparable to existing methods.