Evidence map›Paper›PMID 26921390›Full record

ArticleMolecular biology and evolution2016

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data.

Jaime Huerta-Cepas, François Serra, Peer Bork

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,286 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,286citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1,286 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Global epidemiology of tick-borneFrontiers in cellular and infection microbiology · 2026
    Pooled it
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  4. Analysis of bacteriophage diversity in Ganga river ecosystem: insights from metagenome-based sequencing.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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1,226 more citing papers are in PubMed but not listed here.

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

3 authors.

Jaime Huerta-CepasStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany huerta@embl.de.
François SerraCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Universitat Pompeu Fabra (UPF), 08028 Barcelona, Spain.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, 69117 Heidelberg, Germany Max Delbrück Centre for Molecular Medicine, 13125 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments. Here, we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include (i) building gene-based and supermatrix-based phylogenies using a single command, (ii) testing and visualizing evolutionary models, (iii) calculating distances between trees of different size or including duplications, and (iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org.

Indexed as

Models, GeneticPhylogenyComputational BiologyDatabases, GeneticEvolution, MolecularGenomicsInternetSequence AlignmentSoftwarehypothesis testingNCBI taxonomyphylogenetics.phylogenomicstree comparisontree visualization

Identifiers

PMID26921390
PMCPMC4868116

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.