水稻在线表达谱阵列数据库版本2 (ROADv2):水稻功能基因组学的交互式图谱。

IF 4.8 1区 农林科学 Q1 AGRONOMY
Rice Pub Date : 2024-12-26 DOI:10.1186/s12284-024-00753-5
Wonjae Hwang, Woo-Jong Hong, Eui-Jung Kim, Jihye Kim, Sunok Moon, Ki-Hong Jung
{"title":"水稻在线表达谱阵列数据库版本2 (ROADv2):水稻功能基因组学的交互式图谱。","authors":"Wonjae Hwang, Woo-Jong Hong, Eui-Jung Kim, Jihye Kim, Sunok Moon, Ki-Hong Jung","doi":"10.1186/s12284-024-00753-5","DOIUrl":null,"url":null,"abstract":"<p><p>The Rice Online expression profiles Array Database version 2 (ROADv2; https://roadv2.khu.ac.kr ), an enhanced database for rice gene expression analysis, transitions from the previous microarray platforms to RNA-Seq data for improved accuracy. It encompasses 328 datasets from diverse experimental series, including anatomy, abiotic and biotic stress, hormone response, and nutrient starvation. Key updates include gene annotation (upgraded to RGAP version 7) and functional enrichment data (utilizing recent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) versions). ROADv2 debuts protein-protein interaction (PPI) network analysis and broadens interactive visualization across all features. Gene expression data are segmented into anatomy, biotic, abiotic, nutrient, and hormone categories, with user-interactive heatmaps displaying normalized log2 expression and log2 fold change data. Coexpression correlation analysis identifies genes with similar patterns, visualized through interactive network graphs. Functional enrichment tools display GO and KEGG analyses with significant terms emphasized in various formats. PPI network analysis integrates coexpression data to enhance prediction accuracy. Validation studies affirm the database's reliability, demonstrating reproducible tissue/organ-specific expression patterns. ROADv2 provides a comprehensive resource for rice functional genomics studies.</p>","PeriodicalId":21408,"journal":{"name":"Rice","volume":"17 1","pages":"75"},"PeriodicalIF":4.8000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11671470/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Rice Online Expression Profiles Array Database Version 2 (ROADv2): An Interactive Atlas for Rice Functional Genomics.\",\"authors\":\"Wonjae Hwang, Woo-Jong Hong, Eui-Jung Kim, Jihye Kim, Sunok Moon, Ki-Hong Jung\",\"doi\":\"10.1186/s12284-024-00753-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Rice Online expression profiles Array Database version 2 (ROADv2; https://roadv2.khu.ac.kr ), an enhanced database for rice gene expression analysis, transitions from the previous microarray platforms to RNA-Seq data for improved accuracy. It encompasses 328 datasets from diverse experimental series, including anatomy, abiotic and biotic stress, hormone response, and nutrient starvation. Key updates include gene annotation (upgraded to RGAP version 7) and functional enrichment data (utilizing recent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) versions). ROADv2 debuts protein-protein interaction (PPI) network analysis and broadens interactive visualization across all features. Gene expression data are segmented into anatomy, biotic, abiotic, nutrient, and hormone categories, with user-interactive heatmaps displaying normalized log2 expression and log2 fold change data. Coexpression correlation analysis identifies genes with similar patterns, visualized through interactive network graphs. Functional enrichment tools display GO and KEGG analyses with significant terms emphasized in various formats. PPI network analysis integrates coexpression data to enhance prediction accuracy. Validation studies affirm the database's reliability, demonstrating reproducible tissue/organ-specific expression patterns. ROADv2 provides a comprehensive resource for rice functional genomics studies.</p>\",\"PeriodicalId\":21408,\"journal\":{\"name\":\"Rice\",\"volume\":\"17 1\",\"pages\":\"75\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11671470/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rice\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1186/s12284-024-00753-5\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rice","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1186/s12284-024-00753-5","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

摘要

Rice Online expression profiles Array Database version 2 (ROADv2;https://roadv2.khu.ac.kr),一个用于水稻基因表达分析的增强数据库,从以前的微阵列平台过渡到RNA-Seq数据,以提高准确性。它包含来自不同实验系列的328个数据集,包括解剖学,非生物和生物应激,激素反应和营养饥饿。主要更新包括基因注释(升级到RGAP版本7)和功能富集数据(利用最近的基因本体(GO)和京都基因与基因组百科全书(KEGG)版本)。ROADv2首次推出蛋白质蛋白相互作用(PPI)网络分析,并拓宽了所有功能的交互式可视化。基因表达数据分为解剖、生物、非生物、营养和激素类别,用户交互热图显示标准化的log2表达和log2倍变化数据。共表达相关性分析识别具有相似模式的基因,通过交互式网络图可视化。功能富集工具显示GO和KEGG分析,并以各种格式强调重要术语。PPI网络分析集成了共表达数据,提高了预测精度。验证研究证实了数据库的可靠性,展示了可复制的组织/器官特异性表达模式。ROADv2为水稻功能基因组学研究提供了全面的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Rice Online Expression Profiles Array Database Version 2 (ROADv2): An Interactive Atlas for Rice Functional Genomics.

The Rice Online expression profiles Array Database version 2 (ROADv2; https://roadv2.khu.ac.kr ), an enhanced database for rice gene expression analysis, transitions from the previous microarray platforms to RNA-Seq data for improved accuracy. It encompasses 328 datasets from diverse experimental series, including anatomy, abiotic and biotic stress, hormone response, and nutrient starvation. Key updates include gene annotation (upgraded to RGAP version 7) and functional enrichment data (utilizing recent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) versions). ROADv2 debuts protein-protein interaction (PPI) network analysis and broadens interactive visualization across all features. Gene expression data are segmented into anatomy, biotic, abiotic, nutrient, and hormone categories, with user-interactive heatmaps displaying normalized log2 expression and log2 fold change data. Coexpression correlation analysis identifies genes with similar patterns, visualized through interactive network graphs. Functional enrichment tools display GO and KEGG analyses with significant terms emphasized in various formats. PPI network analysis integrates coexpression data to enhance prediction accuracy. Validation studies affirm the database's reliability, demonstrating reproducible tissue/organ-specific expression patterns. ROADv2 provides a comprehensive resource for rice functional genomics studies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Rice
Rice AGRONOMY-
CiteScore
10.10
自引率
3.60%
发文量
60
审稿时长
>12 weeks
期刊介绍: Rice aims to fill a glaring void in basic and applied plant science journal publishing. This journal is the world''s only high-quality serial publication for reporting current advances in rice genetics, structural and functional genomics, comparative genomics, molecular biology and physiology, molecular breeding and comparative biology. Rice welcomes review articles and original papers in all of the aforementioned areas and serves as the primary source of newly published information for researchers and students in rice and related research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信