HIV-DRLink

HIV-DRLink detects and analyzes linked drug resistance mutations in HIV-1 from next-generation sequencing (NGS) data to characterize mutation frequencies and linkage relevant to combination antiretroviral therapy (cART) outcomes.


Key Features:

  • Detection of linked mutations: Identifies dual-class drug resistance mutations that are linked on the same viral genomes, preserving associations detectable by single-genome approaches.
  • Compatibility with NGS and uSGS/SGS: Processes datasets produced by next-generation sequencing (NGS), including Ultrasensitive Single-Genome Sequencing (uSGS) and Single-Genome Sequencing (SGS).
  • Handling large datasets: Scales to analyze large sequencing datasets that are impractical to assess manually at the single-sequence level.
  • Mutation frequency and linkage reporting: Calculates and reports frequencies of individual mutations and their linkage to other mutations conferring resistance to the same or different drug classes.
  • PCR artifact avoidance: Operates using data from sequencing methods that eliminate PCR recombination artifacts to ensure accurate detection of linked mutations.

Scientific Applications:

  • Mechanisms of treatment failure: Enables investigation of how linked drug resistance mutations, including dual-class linkages identified by uSGS, correlate with treatment failure.
  • Epidemiological surveillance: Supports large-scale analyses to track the emergence and spread of drug-resistant HIV-1 strains in populations under cART.
  • Resistance evolution studies: Facilitates study of intra-host viral population dynamics and the co-occurrence of resistance mutations across drug classes.

Methodology:

Analyzes datasets generated by sequencing methods that avoid PCR bias and recombination (SGS, uSGS), calculates mutation frequencies, and identifies linkages between mutations across different drug classes.

Topics

Details

Tool Type:
web application
Programming Languages:
Perl
Added:
1/14/2020
Last Updated:
12/10/2020

Operations

Publications

Shao W, Boltz VF, Hattori J, Bale MJ, Maldarelli F, Coffin JM, Kearney MF. HIV-DRLink: A tool for detecting linked HIV-1 drug resistance mutations in next generation sequencing data. Unknown Journal. 2019. doi:10.1101/866715.

Links