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

A mutagenetic tree hidden Markov model for longitudinal clonal HIV sequence data

28 Mar 2006

Abstract excerpt

RNA viruses provide prominent examples of measurably evolving populations. In human immunodeficiency virus (HIV) infection, the development of drug resistance is of particular interest because precise predictions of the outcome of this evolutionary process are a prerequisite for the rational design of antiretroviral treatment protocols. We present a mutagenetic tree hidden Markov model for the analysis of...

Read the complete abstract on PubMed

Topics

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

Share to Evolution and Genetic Dynamics
Share to HIV/AIDS drug development and treatment
Share to HIV Research and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 16569743
DOI: 10.1093/biostatistics/kxj033

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A mutagenetic tree hidden Markov model for longitudinal clonal HIV sequence dataPMID 16569743Read ↗

A phylogenetic and Markov model approach for the reconstruction of mutational pathways of drug resistance.Semantic proximity Read ↗

Estimating HIV evolutionary pathways and the genetic barrier to drug resistance.Semantic proximity Read ↗

Model selection for mixtures of mutagenetic trees.Semantic proximity Read ↗

Analysis of mutational history of multidrug-resistant genotypes with a mutagenetic tree model.Semantic proximity Read ↗

Probabilistic inference of viral quasispecies subject to recombination.Semantic proximity Read ↗

Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks.Semantic proximity Read ↗

Combining cross-sectional and prospective data methods to improve transition parameter estimation for characterizing the accumulation of HIV-1 drug resistance mutations.Semantic proximity Read ↗

Learning multiple evolutionary pathways from cross-sectional data.Semantic proximity Read ↗

Mutation rate and the efficacy of antimicrobial drug treatment.Semantic proximity Read ↗

A new algorithm for analysis of within-host HIV-1 evolution.Semantic proximity Read ↗

Accommodating uncertainty in a tree set for function estimation.Semantic proximity Read ↗

Joint modeling of progression of HIV resistance mutations measured with uncertainty and failure time data.Semantic proximity Read ↗

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