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

Predicting evolution from the shape of genealogical trees.

eLife - 11 Nov 2014

Neher Richard A, Russell Colin A, Shraiman Boris I

Abstract excerpt

Given a sample of genome sequences from an asexual population, can one predict its evolutionary future? Here we demonstrate that the branching patterns of reconstructed genealogical trees contains information about the relative fitness of the sampled sequences and that this information can be used to predict successful strains. Our approach is based on the assumption that evolution proceeds by accumulation of...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Forecasting
Share to Gene Flow

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Fitness

Share to Influenza A Virus, H3N2 Subtype

Share to Influenza, Human

Share to Inheritance Patterns

Share to Seasons

Source

Open in PubMed Open full text

Identifiers

PMID: 25385532
DOI: 10.7554/eLife.03568
PMCID: PMC4227306

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Predicting evolution from the shape of genealogical trees.PMID 25385532Read ↗

Concepts and methods for predicting viral evolutionSemantic proximity Read ↗

Phylodynamics beyond neutrality: The impact of incomplete purifying selection on viral phylogenies and inferenceSemantic proximity Read ↗

How to infer relative fitness from a sample of genomic sequences.Semantic proximity Read ↗

New Inferences from Tree Shape: Numbers of Missing Taxa and Population Growth RatesSemantic proximity Read ↗

Learning the fitness dynamics of pathogens from phylogeniesSemantic proximity Read ↗

Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary BiologySemantic proximity Read ↗

The Elusive Genesis: Stochasticity and the Challenge of Reconstructing Viral OriginsSemantic proximity Read ↗

The evolutionary forest algorithm.Semantic proximity Read ↗

Coupling adaptive molecular evolution to phylodynamics using fitness-dependent birth-death modelsSemantic proximity Read ↗

Recent advances in the inference of deep viral evolutionary historySemantic proximity Read ↗

The genealogy of a sequence subject to purifying selection at multiple sites.Semantic proximity Read ↗

An evaluation of phylogenetic methods for reconstructing transmitted HIV variants using longitudinal clonal HIV sequence data.Semantic proximity Read ↗

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