Literature DB >> 33367849

HAPHPIPE: Haplotype Reconstruction and Phylodynamics for Deep Sequencing of Intrahost Viral Populations.

Matthew L Bendall1, Keylie M Gibson1, Margaret C Steiner1, Uzma Rentia1, Marcos Pérez-Losada1,2,3, Keith A Crandall1,2.   

Abstract

Deep sequencing of viral populations using next-generation sequencing (NGS) offers opportunities to understand and investigate evolution, transmission dynamics, and population genetics. Currently, the standard practice for processing NGS data to study viral populations is to summarize all the observed sequences from a sample as a single consensus sequence, thus discarding valuable information about the intrahost viral molecular epidemiology. Furthermore, existing analytical pipelines may only analyze genomic regions involved in drug resistance, thus are not suited for full viral genome analysis. Here, we present HAPHPIPE, a HAplotype and PHylodynamics PIPEline for genome-wide assembly of viral consensus sequences and haplotypes. The HAPHPIPE protocol includes modules for quality trimming, error correction, de novo assembly, alignment, and haplotype reconstruction. The resulting consensus sequences, haplotypes, and alignments can be further analyzed using a variety of phylogenetic and population genetic software. HAPHPIPE is designed to provide users with a single pipeline to rapidly analyze sequences from viral populations generated from NGS platforms and provide quality output properly formatted for downstream evolutionary analyses.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

Entities:  

Keywords:  HIV; bioinformatics; molecular epidemiology; phylodynamics; transmission cluster

Year:  2021        PMID: 33367849     DOI: 10.1093/molbev/msaa315

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  2 in total

1.  Incorporating Within-Host Diversity in Phylogenetic Analyses for Detecting Clusters of New HIV Diagnoses.

Authors:  August Guang; Mark Howison; Lauren Ledingham; Matthew D'Antuono; Philip A Chan; Charles Lawrence; Casey W Dunn; Rami Kantor
Journal:  Front Microbiol       Date:  2022-02-17       Impact factor: 6.064

2.  Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1.

Authors:  Yang Li; Leilei Han; Yanglan Wang; Xiaolin Wang; Lei Jia; Jingyun Li; Jingwan Han; Jin Zhao; Hanping Li; Lin Li
Journal:  Front Microbiol       Date:  2022-08-22       Impact factor: 6.064

  2 in total

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