Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Coalescent Inference Using Serially Sampled, High-Throughput Sequencing Data from Intrahost HIV Infection.

Genetics - 1 Apr 2016

Dialdestoro Kevin, Sibbesen Jonas Andreas, Maretty Lasse, Raghwani Jayna, Gall Astrid, Kellam Paul, Pybus Oliver G, Hein Jotun, Jenkins Paul A

Abstract excerpt

Human immunodeficiency virus (HIV) is a rapidly evolving pathogen that causes chronic infections, so genetic diversity within a single infection can be very high. High-throughput "deep" sequencing can now measure this diversity in unprecedented detail, particularly since it can be performed at different time points during an infection, and this offers a potentially powerful way to infer the evolutionary dynamics...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Viral

Share to HIV Infections

Share to Models, Statistical

Share to Recombination, Genetic

Share to RNA, Viral

Source

Open in PubMed Open full text

Identifiers

PMID: 26857628
DOI: 10.1534/genetics.115.177931
PMCID: PMC4905535

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Coalescent Inference Using Serially Sampled, High-Throughput Sequencing Data from Intrahost HIV Infection.PMID 26857628Read ↗

Coalescent inference using serially sampled, high-throughput sequencing data from intra-host HIV infectionSemantic proximity Read ↗

JUNIPER: Reconstructing Transmission Events from Next-Generation Sequencing Data at ScaleSemantic proximity Read ↗

Inference of recombination maps from a single pair of genomes and its application to archaic samplesSemantic proximity Read ↗

JUNIPER: Reconstructing Transmission Events from Next-Generation Sequencing Data at ScaleSemantic proximity Read ↗

QUENTIN: reconstruction of disease transmissions from viral quasispecies genomic dataSemantic proximity Read ↗

Integrating Transmission Dynamics and Pathogen Evolution Through a Bayesian ApproachSemantic proximity Read ↗

Evaluation of methods for estimating coalescence times using ancestral recombination graphs.Semantic proximity Read ↗

HIV evolutionary dynamics within and among hosts.Semantic proximity Read ↗

Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing dataSemantic proximity Read ↗

Integrating haplotype-enhanced HIV surveillance with national databases improves the resolution of transmission networks, drug resistance, and risk assessment.Semantic proximity Read ↗

Tracking human population structure through time from whole genome sequencesSemantic proximity Read ↗

Inference of recombination maps from a single pair of genomes and its application to ancient samples.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.