Evidence map›Paper›PMID 33367849›Full record

ArticleMolecular biology and evolution2021

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

Matthew L Bendall, Keylie M Gibson, Margaret C Steiner, Uzma Rentia, Marcos Pérez-Losada, Keith A Crandall

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 2 countries.

Matthew L BendallComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Keylie M GibsonComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Margaret C SteinerComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Uzma RentiaComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Marcos Pérez-LosadaComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Keith A CrandallComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Milken Institute · US

Funding

SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Italo Mocchetti · 2015 to 2026
$29.6M
Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
Human Endogenous Retroelements in HIV ImmunopathogenesisR01AI076059 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI NIXON, DOUGLAS F · 2009 to 2017
$3.9M
NCATS NIH HHS UL1 TR001876NIAID NIH HHS P30 AI117970NIAID NIH HHS R01 AI076059
6 · The paper itself

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.

Indexed as

Genome, ViralHaplotypesHigh-Throughput Nucleotide SequencingPhylogenySoftwarebioinformaticsHIVmolecular epidemiologyphylodynamicstransmission cluster

Identifiers

PMID33367849
PMCPMC8042772
OpenAlexW3115141115

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.