Beijing Key Laboratory of Grape Science and Enology, and CAS Key Laboratory of Plant Resources, Institute of Botany, the Innovative Academy of Seed Design, the Chinese Academy of Science, Beijing 100093, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Genes (Basel). 2020 Mar 16;11(3):315. doi: 10.3390/genes11030315.
Since its inception, RNA sequencing (RNA-seq) has become the most effective way to study gene expression. After more than a decade of development, numerous RNA-seq datasets have been created, and the full utilization of these datasets has emerged as a major issue. In this study, we built a comprehensive database named Grape-RNA, which is focused on the collection, evaluation, treatment, and data sharing of grape RNA-seq datasets. This database contains 1529 RNA-seq samples, 112 microRNA samples from the public platform, and 485 RNA-seq in-house datasets sequenced by our lab. We classified these data into 25 conditions and provide the sample information, cleaned raw data, expression level, assembled unigenes, useful tools, and other relevant information to the users. Thus, this study provides data and tools that should be beneficial for researchers by allowing them to easily use the RNA-seq. The provided information can greatly contribute to grape breeding and genomic and biological research. This study may improve the usage of RNA-seq.
自诞生以来，RNA 测序（RNA-seq）已成为研究基因表达最有效的方法。经过十多年的发展，已经创建了许多 RNA-seq 数据集，如何充分利用这些数据集成为一个主要问题。在这项研究中，我们构建了一个名为 Grape-RNA 的综合数据库，该数据库专注于葡萄 RNA-seq 数据集的收集、评估、处理和数据共享。该数据库包含 1529 个 RNA-seq 样本、来自公共平台的 112 个 microRNA 样本和我们实验室通过测序得到的 485 个 RNA-seq 内部数据集。我们将这些数据分为 25 种条件，并向用户提供样本信息、清洁原始数据、表达水平、组装的 unigenes、有用工具和其他相关信息。因此，本研究通过允许研究人员轻松使用 RNA-seq 为他们提供数据和工具，应该对他们有所帮助。提供的信息可以极大地促进葡萄的培育和基因组及生物学研究。本研究可能会提高 RNA-seq 的使用率。
