Version 1
: Received: 1 October 2023 / Approved: 4 October 2023 / Online: 4 October 2023 (09:03:49 CEST)
How to cite:
Biswas, M.K.; Natarajan, S.K.; Biswas, D.; Howlader, J.; Park, J.; Nou, I. Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family. Preprints2023, 2023100220. https://doi.org/10.20944/preprints202310.0220.v1
Biswas, M.K.; Natarajan, S.K.; Biswas, D.; Howlader, J.; Park, J.; Nou, I. Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family. Preprints 2023, 2023100220. https://doi.org/10.20944/preprints202310.0220.v1
Biswas, M.K.; Natarajan, S.K.; Biswas, D.; Howlader, J.; Park, J.; Nou, I. Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family. Preprints2023, 2023100220. https://doi.org/10.20944/preprints202310.0220.v1
APA Style
Biswas, M.K., Natarajan, S.K., Biswas, D., Howlader, J., Park, J., & Nou, I. (2023). Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family. Preprints. https://doi.org/10.20944/preprints202310.0220.v1
Chicago/Turabian Style
Biswas, M.K., Jong-In Park and Ill-Sup Nou. 2023 "Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family" Preprints. https://doi.org/10.20944/preprints202310.0220.v1
Abstract
Lily database online genomic resource composed of Korean Lily Germplasm Collection, Transcriptome Sequences, molecular markers, transcription factors (TF) and DEGs data. A total of ~0.23 gb of RNA-sequences data were mined for gene identification, marker development and gene expression analysis. As a result, 47,863 SSR, 20,929 SNP and 1213 COS-marker were developed. A total of 1327 TF genes were identified and characterized. This is the first unique, user-friendly, genomic resource database for Lilium species. It is a relational database based on a ‘three-tier architecture’ that catalogs all the information in MySQL table and a user-friendly query interface and data visualization page developed using JavaScript, PHP and HTML code. The search parameters are highly flexible, user can be retrieved data by using either single or multiple search parameters. Data present in this database can be used for germplasm characterization, gene discovery, population structure analysis, QTL mapping and accelerating the lily variety improvements. This database can be accessed through this link: http://www.genomicsres.org/lilidb/.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.