State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
Centre for Advanced Computational Solutions (C-fACS), Lincoln University, New Zealand.
Nucleic Acids Res. 2019 Jan 8;47(D1):D230-D234. doi: 10.1093/nar/gky978.
RPFdb (http://www.rpfdb.org or http://sysbio.sysu.edu.cn/rpfdb) is a public database for hosting, analyzing and visualizing ribosome profiling (ribo-seq) data. Since its initial release in 2015, the amount of new ribo-seq data has been considerably enlarged with the increasing popularity of ribo-seq technique. Here, we describe an updated version, RPFdb v2.0, which brings significant data expansion, feature improvements, and functionality optimization: (i) RPFdb v2.0 currently hosts 2884 ribo-seq datasets from 293 studies, covering 29 different species, in comparison with 777 datasets from 82 studies and 8 species in the previous version; (ii) A refined analysis pipeline with multi-step quality controls has been applied to improve the pre-processing and alignment of ribo-seq data; (iii) New functional modules have been added to provide actively translated open reading frames (ORFs) information for each ribo-seq data; (iv) More features have been made available to increase database usability. With these additions and enhancements, RPFdb v2.0 will represent a more valuable and comprehensive database for the gene regulation community.
RPFdb(http://www.rpfdb.org 或 http://sysbio.sysu.edu.cn/rpfdb)是一个用于宿主、分析和可视化核糖体分析(ribo-seq)数据的公共数据库。自 2015 年首次发布以来,随着 ribo-seq 技术的普及,新的 ribo-seq 数据量大大增加。在这里,我们描述了一个更新的版本,RPFdb v2.0,它带来了显著的数据扩展、功能改进和功能优化:(i)RPFdb v2.0 目前宿主 2884 个来自 293 个研究的 ribo-seq 数据集,涵盖 29 个不同的物种,而前一个版本有 777 个数据集,来自 82 个研究和 8 个物种;(ii)采用了经过多步质量控制的精细分析管道,以改进 ribo-seq 数据的预处理和比对;(iii)添加了新的功能模块,为每个 ribo-seq 数据提供活跃翻译的开放阅读框(ORFs)信息;(iv)增加了更多的功能,以提高数据库的可用性。通过这些增加和增强,RPFdb v2.0 将成为基因调控社区更有价值和全面的数据库。