/rice-pilaf

Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases

Primary LanguagePythonMIT LicenseMIT

RicePilaf

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Welcome! RicePilaf is short for Rice Post-GWAS/QTL Analysis dashboard. Ok, so we are not great at acronyms; but like a flavorful rice pilaf that combines many ingredients, this RicePilaf combines information from multiple rice databases to provide insights into your QTL/GWAS loci.

Paper: https://doi.org/10.1093/gigascience/giae013

If you find our work useful, please consider citing:

@article{10.1093/gigascience/giae013,
    author = {Shrestha, Anish M S and Gonzales, Mark Edward M and Ong, Phoebe Clare L and Larmande, Pierre and Lee, Hyun-Sook and Jeung, Ji-Ung and Kohli, Ajay and Chebotarov, Dmytro and Mauleon, Ramil P and Lee, Jae-Sung and McNally, Kenneth L},
    title = "{RicePilaf: a post-GWAS/QTL dashboard to integrate pangenomic, coexpression, regulatory, epigenomic, ontology, pathway, and text-mining information to provide functional insights into rice QTLs and GWAS loci}",
    journal = {GigaScience},
    volume = {13},
    pages = {giae013},
    year = {2024},
    month = {06},
    issn = {2047-217X},
    doi = {10.1093/gigascience/giae013},
    url = {https://doi.org/10.1093/gigascience/giae013},
    eprint = {https://academic.oup.com/gigascience/article-pdf/doi/10.1093/gigascience/giae013/58080756/giae013.pdf},
}
RicePilaf-DemoVideo.mp4

Installation and usage

For installation and usage guide, please visit the wiki.

It is advised to install the app locally, especially for higher computational loads.

Alternatively, you can try RicePilaf at one of the sites listed in the wiki.

Contact

If you have issues, concerns, suggestions, or questions, please contact Anish Shrestha (anish.shrestha --atmark-- dlsu.edu.ph).