Abstract：
In the new stage of trans-omics and trans-subjects for medicinal plants, it is an urgent need to integrate big data, provide interactive applications, and form a unified and multi-level research system and big data platform. Dao-di medicinal material, as an important source of medicinal plants, is a unique quality concept and comprehensive standard of tranditional Chinese medicine(TCM). Several databases have been developed in China and abroad, such as the Encyclopedia of Traditional Chinese Medicine(ETCM) and the Global Pharmacopoeia Genome Database(GPGD). Yet, most databases do not provide multi-dimensional data, including geographic data, phenotype data, compound data, and genetic data. Sichuan, known as the hometown of TCM therapies and the treasure trove of TCM, is the most representative region of medicinal plant diversity in China. According to the latest data of the fourth national survey of TCM resources, there are more than 8 000 TCM and 86 Dao-di medicinal materials in Sichuan province. Based on resource census data and relevant achievements, this study constructed the bioinformatics database of medicinal plants and the visual analysis platform of production layout by taking the Dao-di medicinal materials in Sichuan province as an example, covering geographic data, phenotype data, compound data, and genetic data. It effectively integrates multi-dimensional data of Dao-di medicinal materials and provides different levels of data interaction applications. The platform is the first large-scale multi-dimensional database and visual platform of Dao-di medicinal materials in Sichuan province, which serves as an essential resource for germplasm resources identification, decomposition of biosynthetic pathways, molecular breeding of varieties and provides medicinal plant resource information and data support for development and utilization of medicinal plants in China and abroad.
摘要：
在药用植物的反式组学和反式主题的新阶段，迫切需要整合大数据，提供交互式应用程序，形成统一的多层次研究体系和大数据平台。刀地药材,作为药用植物的重要来源，是传统中药独特的质量概念和综合标准。国内外已经开发了几个数据库,如中医百科全书（ETCM）和全球药典基因组数据库（GPGD）。然而，大多数数据库不提供多维数据，包括地理数据，表型数据，复合数据，和遗传数据。四川,被称为中医治疗之乡和中医宝库，是我国药用植物多样性最具代表性的区域。根据第四次全国中医药资源调查的最新数据,四川省有8000多种中药和86种刀地药材。根据资源普查数据和相关成果，本研究以四川省道地药材为例,构建了药用植物生物信息学数据库和生产布局可视化分析平台,涵盖地理数据，表型数据，复合数据，和遗传数据。它有效地整合了道地药材的多维数据，并提供了不同级别的数据交互应用。该平台是四川省第一个大范围的道地药材多维数据库和可视化平台,作为种质资源鉴定的重要资源，生物合成途径的分解，种的分子育种,为国内外药用植物的开发利用提供了药用植物资源信息和数据支持。
