Evidence map›Paper›PMID 39054525›Full record

ArticleGenome biology2024

SonicParanoid2: fast, accurate, and comprehensive orthology inference with machine learning and language models.

Salvatore Cosentino, Sira Sriswasdi, Wataru Iwasaki

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A programmableApplied and environmental microbiology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. DIOPT: the DRSC Integrative Ortholog Prediction Tool, 2026 update.bioRxiv : the preprint server for biology · 2026
    Article
  12. Silver chimaera genome highlights lineage-specific sex chromosome and opsin gene evolution in holocephalans.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  13. Article
  14. Whole genome analysis of toxic Papilionidae butterflies utilizing aristolochic acid, Pachliopta aristolochiae, and Byasa alcinous.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  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

3 authors.

Salvatore CosentinoDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan.
Sira SriswasdiCenter of Excellence in Computational Molecular Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wataru IwasakiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan. iwasaki@k.u-tokyo.ac.jp.ORCID 0000-0002-9169-9245

Funding

JSPS KAKENHI 16H06279JSPS KAKENHI 19H05688JSPS KAKENHI 22H04925JST CREST JPMJCR19S2MEXT JPMXD1521474594
6 · The paper itself

Abstract

Accurate inference of orthologous genes constitutes a prerequisite for comparative and evolutionary genomics. SonicParanoid is one of the fastest tools for orthology inference; however, its scalability and accuracy have been hampered by time-consuming all-versus-all alignments and the existence of proteins with complex domain architectures. Here, we present a substantial update of SonicParanoid, where a gradient boosting predictor halves the execution time and a language model doubles the recall. Application to empirical large-scale and standardized benchmark datasets shows that SonicParanoid2 is much faster than comparable methods and also the most accurate. SonicParanoid2 is available at https://gitlab.com/salvo981/sonicparanoid2 and https://zenodo.org/doi/10.5281/zenodo.11371108 .

Indexed as

Machine LearningSoftwareGenomicsHumansSequence AlignmentGenome evolutionLanguage modelMachine learningOrthology inference

Identifiers

PMID39054525
PMCPMC11270883

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.