ReviewTrends in genetics : TIG2026
In silico genome transplants and the cis-regulatory basis of biodiversity.
Review in Trends in genetics : TIG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Transcriptional cis-regulation has emerged as the predominant force underlying the evolution of phenotypic diversity, yet our understanding of it is still rudimentary. While empirical comparative genomic approaches have been quite informative, they also suffer from numerous confounders and limited scalability. Here we propose using machine-learning-based methods that predict cis-regulatory activity from DNA sequence to perform in silico 'genome transplants' to predict cis-regulatory features as if the genome from one species had been transplanted into the nuclei of another species. Inference of natural selection from the resulting genome-wide catalogs of cis-regulatory divergence could be far more powerful, efficient, and widely applicable than current empirical approaches, enabling unprecedented insights into the genetic basis of biodiversity across the tree of life.
Indexed as
Identifiers
What Socratic 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 Socratic graph.