category
bioRxiv
date
Mar 13, 2026
slug
status
Published
summary
创新点包括:1) 样本数量级增长;2) 新自动化工作流程实现大规模数据处理;3) 重构的交互式网页界面;4) 跨物种复用的基础设施代码;5) 基于泛转录组的全新参考转录数据集。
tags
测序技术
type
Post

📄 原文题目

EoRNA2: Autonomous Data Discovery and Processing for Databasing of Gene Expression Data

🔗 原文链接

💡 AI 核心解读

创新点包括:1) 样本数量级增长;2) 新自动化工作流程实现大规模数据处理;3) 重构的交互式网页界面;4) 跨物种复用的基础设施代码;5) 基于泛转录组的全新参考转录数据集。

📝 英文原版摘要

We describe a major new release of the EoRNA database, a gene expression database for barley based on public data, first published in 20211. EoRNA v.2 (https://ics.hutton.ac.uk/eorna2/index.html) features an order of magnitude more samples and is based on a new automated workflow of sample discovery and processing which has enabled a dramatic scale-up the original database. EoRNA v.2 also features a major rebuild of the web user interface with rich new functionality. All infrastructure-related code and database schemas and web components are now species agnostic and publicly available for reuse with other taxa. A dedicated new reference transcript dataset has been created for EoRNA v.2 which is largely based on the recently published barley pan-transcriptome and represents the most comprehensive dataset of its kind to date.
STEVE:单细胞转录组表达可视化与评估通过靶向核糖体组装因子Bop1/WDR12的相互作用,将HCT116结肠癌细胞的核仁应激与DNA损伤解耦
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