ReviewJournal of molecular evolution2025
Reconstructing Evolutionary Histories with Hierarchical Orthologous Groups.
Review in Journal of molecular evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- BAT: an integrated pipeline for gene tree construction, annotation, and functional inference.bioRxiv : the preprint server for biology · 2026Article
- AmpliPhy improves gene trees by adding homologous sequences without affecting alignments.Bioinformatics advances · 2026Article
- The pangenome: a statistical model, not a fixed biological property.Bioinformatics advances · 2026Review
- Quest for Orthologs in the era of Data Deluge and AI: Challenges and Innovations in Orthology Prediction and Data Integration.Journal of molecular evolution · 2025Review
- Perspectives on Orthology During the Quest for Orthologs.Journal of molecular evolution · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
With the rapid advancement of large-scale sequencing initiatives, the need for efficient and accurate methods for inferring orthologous and paralogous relationships has never been more critical. Hierarchical orthologous groups (HOGs) provide a powerful solution to this challenge, offering a precise, scalable framework to study gene families and their evolutionary histories across diverse species. In this review, we introduce the concept of HOGs and explore their advantages over traditional methods. Next, we highlight key applications of HOGs, including their use in representing gene families, inferring ancestral genomes, tracking gene gain and loss events, functional annotation, and phylogenetic profiling. We overview the process of constructing HOGs and discuss the challenges and limitations of HOG inference. The HOG framework provides a clear and structured approach to organizing homologous genes, making it possible to gain deeper insights into gene family and species evolution.
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What OpenQuestion holds
Registered trials
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.