Ribosome profiling (Ribo-Seq) has revolutionised our understanding of translation, but the increasing complexity and volume of Ribo-Seq data present challenges for its reuse. Here, we formally introduce RiboSeq.Org, an integrated suite of resources designed to facilitate Ribo-Seq data analysis and visualisation within a web browser. RiboSeq.Org comprises several interconnected tools: GWIPS-viz for genome-wide visualisation, Trips-Viz for transcriptome-centric analysis, RiboGalaxy for data processing and the newly developed RiboSeq data portal (RDP) for centralised dataset identification and access. The RDP currently hosts preprocessed datasets corresponding to 14840 sequence libraries (samples) from 969 studies across 96 species, in various file formats along with standardised metadata. RiboSeq.Org addresses key challenges in Ribo-Seq data reuse through standardised sample preprocessing, semi-automated metadata curation and programmatic information access via a REST API and command-line utilities. RiboSeq.Org enhances the accessibility and utility of public Ribo-Seq data, enabling researchers to gain new insights into translational regulation and protein synthesis across diverse organisms and conditions. By providing these integrated, user-friendly resources, RiboSeq.Org aims to lower the barrier to reproducible research in the field of translatomics and promote more efficient utilisation of the wealth of available Ribo-Seq data.

中文翻译：

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RiboSeq.Org：用于核糖体分析数据分析和可视化的集成资源套件


核糖体分析 （Ribo-Seq） 彻底改变了我们对翻译的理解，但 Ribo-Seq 数据日益复杂和数量不断增加，这给其重用带来了挑战。在这里，我们正式介绍了 RiboSeq.Org，这是一套集成资源，旨在促进 Web 浏览器中的 Ribo-Seq 数据分析和可视化。RiboSeq.Org 包括几个相互关联的工具：用于全基因组可视化的 GWIPS-viz、用于以转录组为中心的分析的 Trips-Viz、用于数据处理的 RiboGalaxy 以及用于集中数据集识别和访问的新开发的 RiboSeq 数据门户 （RDP）。RDP 目前托管了对应于 96 个物种的 969 项研究的 14840 个序列库（样本）的预处理数据集，采用各种文件格式以及标准化元数据。RiboSeq.Org 通过标准化的样本预处理、半自动元数据管理以及通过 REST API 和命令行实用程序进行的编程信息访问，解决了 Ribo-Seq 数据重用中的关键挑战。RiboSeq.Org 增强了公共 Ribo-Seq 数据的可访问性和实用性，使研究人员能够获得对不同生物体和条件下的翻译调控和蛋白质合成的新见解。通过提供这些集成的、用户友好的资源，RiboSeq.Org 旨在降低透解剖学领域可重复研究的门槛，并促进更有效地利用丰富的可用 Ribo-Seq 数据。