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Updated: Sep 21, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

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AARDVARK: an automated reversion detector for variants affecting resistance kinetics

Thaidy Moreno1, Joaquin Magana2, David A Quigley1,3,4

  • 1Department of Urology, UCSF, San Francisco, CA 94158, United States.

Bioinformatics (Oxford, England)
|August 16, 2023
PubMed
Abstract

Insights

A new R package, AARDVARK, automates the identification of reversion mutations. This advances the analysis of tumor sequence data for drug resistance mechanisms.

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • Tumor cells can develop resistance to FDA-approved therapies targeting DNA repair deficiencies.
  • This resistance is often mediated by reversion mutations that restore DNA repair function.
  • Current methods for identifying these mutations are manual and time-consuming.

Purpose of the Study:

  • To develop an automated tool for identifying reversion mutations in tumor DNA sequence data.
  • To streamline the analysis of mechanisms underlying therapeutic resistance in cancer.

Main Methods:

  • Development of AARDVARK, an R package.
  • Implementation of algorithms for automatic detection of reversion mutations.
  • Utilizes DNA sequence data from patient tumors.

Main Results:

  • AARDVARK automates the identification of reversion mutations.
  • Reduces the need for manual annotation of sequence data.
  • Facilitates faster analysis of drug resistance.

Conclusions:

  • AARDVARK provides an efficient solution for identifying reversion mutations.
  • This tool can accelerate research into cancer therapy resistance.
  • Enables more effective personalized treatment strategies.

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