ArticleG3 (Bethesda, Md.)2026
G2P datasets: a hub for genomic datasets for predictive modeling in plants and animals.
Article in G3 (Bethesda, Md.), 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
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Authors and funding
8 authors.
Funding
Abstract
We present G2P Datasets, a novel, open-access repository of publicly available genomic datasets for plants and animals. G2P Datasets currently hosts more than 100 public genomic datasets, meticulously compiled from diverse publications. The repository hosts meta-data (including digital object identifier for the hosted datasets) and scripts that can be used to download and read each dataset hosted into an R-environment. Scientists can submit new datasets by completing an online form. Additionally, many of the curated datasets are accessible through Kaggle and through links that allow rapid download of formatted R-objects. A searchable database of meta-data allows users to search through datasets for more than 60 species of plants and animals in a variety of traits and sample sizes. The repository is accessible via a web app interface with a catalog and clear instructions to contribute by adding new datasets and through GitHub. By unifying genomic and phenotypic meta-data into a navigable platform, we aim to facilitate genome-to-phenotype research in plant and animal genetics. This article provides an overview of the repository's content, organization, and utility.
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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.