Evidence map›Paper›PMID 21853451›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2011

Orthology prediction methods: a quality assessment using curated protein families.

Kalliopi Trachana, Tomas A Larsson, Sean Powell, Wei-Hua Chen, Tobias Doerks, Jean Muller, Peer Bork

Abstract readComparative Study
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Article
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  11. Article
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  13. Orthology Clusters from Gene Trees with Possvm.Molecular biology and evolution · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Phylogenetic tree building in the genomic age.Nature reviews. Genetics · 2020
    Review
  20. Article

20 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

7 authors.

Kalliopi TrachanaStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Tomas A Larsson
Sean Powell
Wei-Hua Chen
Tobias Doerks
Jean Muller
Peer Bork

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of sequenced genomes has prompted the development of several automated orthology prediction methods. Tests to evaluate the accuracy of predictions and to explore biases caused by biological and technical factors are therefore required. We used 70 manually curated families to analyze the performance of five public methods in Metazoa. We analyzed the strengths and weaknesses of the methods and quantified the impact of biological and technical challenges. From the latter part of the analysis, genome annotation emerged as the largest single influencer, affecting up to 30% of the performance. Generally, most methods did well in assigning orthologous group but they failed to assign the exact number of genes for half of the groups. The publicly available benchmark set (http://eggnog.embl.de/orthobench/) should facilitate the improvement of current orthology assignment protocols, which is of utmost importance for many fields of biology and should be tackled by a broad scientific community.

Indexed as

GenesAlgorithmsAnimalsComputational BiologyDatabases, GeneticDatabases, ProteinInternetMolecular Sequence AnnotationMucinsPhylogenyProteinsReproducibility of ResultsSpecies SpecificityUser-Computer InterfaceMucinsProteins

Identifiers

PMID21853451
PMCPMC3193375

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.