Evidence map›Paper›PMID 31241141›Full record

ArticleMolecular biology and evolution2019

Advances and Applications in the Quest for Orthologs.

Natasha Glover, Christophe Dessimoz, Ingo Ebersberger, Sofia K Forslund, Toni Gabaldón, Jaime Huerta-Cepas, Maria-Jesus Martin, Matthieu Muffato, Mateus Patricio, Cécile Pereira and 4 more

Abstract readConference Proceedings
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  12. UtilizingJournal of developmental biology · 2025
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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

14 authors.

Natasha GloverDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Christophe DessimozDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Ingo EbersbergerApplied Bioinformatics Group, Institute of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt, Germany.
Sofia K ForslundExperimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbruck Center for Molecular Medicine, Berlin, Germany.
Toni GabaldónCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Jaime Huerta-CepasStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Maria-Jesus MartinEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Matthieu MuffatoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Mateus PatricioEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Cécile PereiraEura Nova, Marseille, France.
Alan Sousa da SilvaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Yan WangDepartment of Microbiology and Plant Pathology, Institute for Integrative Genome Biology, University of California-Riverside, Riverside, CA.
Erik SonnhammerScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
Paul D ThomasDivision of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA.

Funding

Mapping the CPLANE interactome, an extensive protein interaction network underlying human ciliopathiesR01HD085901 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE, John B Wallingford · 2016 to 2026
$6.2M
Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Mapping the blood cell protein complexosomeR01DK110520 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI EMILI, ANDREW, MARCOTTE, EDWARD M · 2016 to 2018
$727k
NICHD NIH HHS R01 HD085901NIDDK NIH HHS R01 DK110520NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

Gene families evolve by the processes of speciation (creating orthologs), gene duplication (paralogs), and horizontal gene transfer (xenologs), in addition to sequence divergence and gene loss. Orthologs in particular play an essential role in comparative genomics and phylogenomic analyses. With the continued sequencing of organisms across the tree of life, the data are available to reconstruct the unique evolutionary histories of tens of thousands of gene families. Accurate reconstruction of these histories, however, is a challenging computational problem, and the focus of the Quest for Orthologs Consortium. We review the recent advances and outstanding challenges in this field, as revealed at a symposium and meeting held at the University of Southern California in 2017. Key advances have been made both at the level of orthology algorithm development and with respect to coordination across the community of algorithm developers and orthology end-users. Applications spanned a broad range, including gene function prediction, phylostratigraphy, genome evolution, and phylogenomics. The meetings highlighted the increasing use of meta-analyses integrating results from multiple different algorithms, and discussed ongoing challenges in orthology inference as well as the next steps toward improvement and integration of orthology resources.

Indexed as

Evolution, MolecularMultigene FamilyAlgorithmsAnimalsGenomicsHumansgene familygenome evolutionorthology

Identifiers

PMID31241141
PMCPMC6759064

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.