An analytical pipeline for identifying and mapping the integration sites of HIV and other retroviruses.
Daria W WellsShuang GuoWei ShaoMichael J BaleJohn M CoffinStephen H HughesXiaolin WuPublished in: BMC genomics (2020)
We provide a detailed protocol that reduces the prevalence of artifacts that arise in the analysis of retroviral integration site data generated from in vivo samples and a bioinformatics pipeline that is able to remove the artifacts that remain.
Keyphrases
- antiretroviral therapy
- hiv positive
- hiv infected
- image quality
- hiv testing
- human immunodeficiency virus
- high resolution
- hepatitis c virus
- randomized controlled trial
- risk factors
- hiv aids
- big data
- cone beam
- men who have sex with men
- high density
- computed tomography
- liquid chromatography
- magnetic resonance imaging
- artificial intelligence
- mass spectrometry
- data analysis
- deep learning