RASP

Compared to the previous version, RASP v2.0 includes the following improvements: (i) the number of RNA structure datasets has increased from 156 to 438, comprising 216 transcriptome-wide RNA structure datasets, 141 target-specific RNA structure datasets, and 81 RNA-RNA interaction datasets, thereby broadening species coverage from 18 to 24, (ii) a deep learning-based model has been implemented to impute missing structural signals for 59 transcriptome-wide RNA structure datasets with low structure score coverage, significantly enhancing data quality, particularly for low-abundance RNAs, (iii) three new online analysis modules have been deployed to assist RNA structure studies, including missing structure score imputation, RNA secondary and tertiary structure prediction, and RNA binding protein (RBP) binding prediction.

相较于前代版本，RASP v2.0 包含以下优化内容：(i) RNA结构数据集的总量从156组增至438组，涵盖216组全转录组RNA结构数据集、141组靶标特异性RNA结构数据集以及81组RNA-RNA互作数据集，由此将物种覆盖范围从18种拓展至24种；(ii) 新增基于深度学习的模型，用于对59组结构评分覆盖率较低的全转录组RNA结构数据集进行缺失结构信号补全，显著提升了数据质量，尤其针对低丰度RNA；(iii) 上线三个全新的在线分析模块以助力RNA结构研究，包括缺失结构评分补全、RNA二级与三级结构预测，以及RNA结合蛋白（RNA Binding Protein，RBP）结合预测。

搜集汇总

背景与挑战

背景概述

RASP v2.0是一个更新的RNA结构探测数据库，包含438个数据集，覆盖24个物种和39种实验方法，并首次整合了基于足迹法和邻近连接法的数据。该版本通过深度学习模型填补了59个数据集的缺失结构信号，提升了数据质量，同时提供了结构预测和RBP结合预测等在线分析功能。