Cite & about

# Cite this resource

If you use the 19K-RGP data or this documentation, please cite the manuscript:

    Zhou Y., Ferrero-Serrano Á., Hsieh J.-W. A., et al.
    Unity in Diversity: A Global Atlas of 19,035 Rice Genomes.
    Cell (in revision). Manuscript CELL-D-26-01478.

And the platform you used (see each platform's Access & cite section): SNP-Seek (Mansueto et al. 2017), GrameneOryza / Ensembl, Oryza CLIMtools (Ferrero-Serrano et al. 2024), and the HPC-GVCW variant-calling pipeline (BMC Biology 2024).

## Data & code availability

Resource | Identifier
--- | ---
9K-RGP sequencing (NCBI BioProject) | PRJNA954521
3K-RGP (NCBI BioProject) | PRJNA597070
PacBio HiFi, IR64RS2 (NCBI BioProject) | PRJNA952097
Variants (European Variation Archive) | PRJEB105137 (SNP ERZ28769989, InDel ERZ28769990)
Raw reads (KAUST repository) | DOI 10.25781/N3AF-NP78
Code & pre-trained models | github.com/YongZhou2019/19K-RGP (MIT)
Oryza CLIMtools source | github.com/CLIMtools (Apache 2.0)
Precomputed summary tables | Zenodo DOI (minted at publication)

All access paths are anonymous and require no login, consistent with the journal's data-availability policy. Endpoints that are credentialed during peer review move to public production at publication.

## About this documentation

This site is a static, dependency-free guide (HTML + CSS + vanilla JavaScript) to accessing and querying the resource — built to answer a reviewer's request for clearer guidance on efficient data access (APIs, precomputed summaries, example workflows). Text is licensed CC-BY.

Changelog. v1.0 — initial release: per-platform pages, three example workflows, the `oryza19k` access cookbook, and the precomputed-summary catalog.