Evidence map›Paper›PMID 23424133›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2013

Maximum likelihood phylogenetic reconstruction from high-resolution whole-genome data and a tree of 68 eukaryotes.

Yu Lin, Fei Hu, Jijun Tang, Bernard M E Moret

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Article
  10. Genomic Analysis ofFrontiers in microbiology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Genome Rearrangement Shapes Prochlorococcus Ecological Adaptation.Applied and environmental microbiology · 2018
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Yu LinLaboratory for Computational Biology and Bioinformatics, EPFL, Lausanne VD, CH-1015, Switzerland. yu.lin@epfl.ch
Fei Hu
Jijun Tang
Bernard M E Moret

Funding

Phylogenetic Analysis with Complex Genome Rearrangement EventsR01GM078991 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TANG, JIJUN · 2006 to 2009
$715k
NIGMS NIH HHS R01 GM078991
6 · The paper itself

Abstract

The rapid accumulation of whole-genome data has renewed interest in the study of the evolution of genomic architecture, under such events as rearrangements, duplications, losses. Comparative genomics, evolutionary biology, and cancer research all require tools to elucidate the mechanisms, history, and consequences of those evolutionary events, while phylogenetics could use whole-genome data to enhance its picture of the Tree of Life. Current approaches in the area of phylogenetic analysis are limited to very small collections of closely related genomes using low-resolution data (typically a few hundred syntenic blocks); moreover, these approaches typically do not include duplication and loss events. We describe a maximum likelihood (ML) approach for phylogenetic analysis that takes into account genome rearrangements as well as duplications, insertions, and losses. Our approach can handle high-resolution genomes (with 40,000 or more markers) and can use in the same analysis genomes with very different numbers of markers. Because our approach uses a standard ML reconstruction program (RAxML), it scales up to large trees. We present the results of extensive testing on both simulated and real data showing that our approach returns very accurate results very quickly. In particular, we analyze a dataset of 68 high-resolution eukaryotic genomes, with from 3,000 to 42,000 genes, from the eGOB database; the analysis, including bootstrapping, takes just 3 hours on a desktop system and returns a tree in agreement with all well supported branches, while also suggesting resolutions for some disputed placements.

Indexed as

PhylogenyAlgorithmsAnimalsComputational BiologyComputer SimulationDatabases, GeneticEukaryotaGene RearrangementGenomicsHumansLikelihood FunctionsModels, Genetic

Identifiers

PMID23424133
PMCPMC3712796

What OpenQuestion holds

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Registered trials

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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.