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.
DOI: 10.1101/866715