Lily Database: A Comprehensive Genomic Resource for the Liliaceae Family

Author:

Biswas Manosh Kumar12ORCID,Natarajan Sathishkumar23ORCID,Biswas Dhiman4,Howlader Jewel2,Park Jong-In2,Nou Ill-Sup2ORCID

Affiliation:

1. Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK

2. Department of Horticulture, Sunchon National University, 255, Jungang-ro, Suncheon 57922, Republic of Korea

3. 3BIGS Co., Ltd., B-831, Geumgang Penterium IX Tower, Hwaseong 18469, Republic of Korea

4. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata 700064, West Bengal, India

Abstract

The Lily database is an online genomic resource which is composed of a Korean Lily germplasm collection, transcriptome sequences, molecular markers, transcription factors (TFs) and DEGs (Differentially Expressed Genes) data. A total of ~0.23 gb of RNA-sequencing data were used for gene identification, marker development and gene expression analysis. As a result, 103,929 genomic, 47,863 EST-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 a 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; users can retrieve 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 lily variety improvements.

Funder

the Ministry of Agriculture, Food and Rural Affairs (MAFRA), South Korea

Publisher

MDPI AG

Subject

Horticulture,Plant Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3