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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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Related Experiment Video

Updated: Mar 28, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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VAGrENT: Variation Annotation Generator.

Andy Menzies1, Jon W Teague1, Adam P Butler1

  • 1Cancer Genome Project, Wellcome Trust Sanger Institute, Cambridge, United Kingdom.

Current Protocols in Bioinformatics
|December 19, 2015
PubMed
Summary
This summary is machine-generated.

VAGrENT provides biological context and predicts effects for genomic variants. This tool annotates sequence variations, aiding in understanding their clinical significance from sequencing studies.

Keywords:
deletioninsertionsubstitutionvariant annotation

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic sequencing studies generate large volumes of variant data.
  • Interpreting the biological and clinical significance of these variants is challenging.
  • Existing tools may lack efficiency or comprehensive annotation capabilities.

Purpose of the Study:

  • To introduce VAGrENT, a novel bioinformatics tool.
  • To provide biological context and predict the effects of genomic sequence variants.
  • To facilitate the interpretation of variant data from next-generation sequencing.

Main Methods:

  • VAGrENT annotates single base substitutions, small insertions, and deletions.
  • It compares variants against reference information near genes and transcribed elements.
  • The software is optimized for efficient processing of large variant datasets.

Main Results:

  • VAGrENT successfully annotates various types of genomic variants.
  • The tool provides context to assess the biological or clinical significance of variants.
  • Its efficient design supports the analysis of next-generation sequencing data.

Conclusions:

  • VAGrENT is an efficient tool for annotating genomic variants.
  • It enhances the understanding of variant significance in biological and clinical contexts.
  • The software offers customizable protocols for extended functionality.