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Sci-ModoM:一个全转录组高通量RNA修饰位点的定量数据库。

Sci-ModoM: a quantitative database of transcriptome-wide high-throughput RNA modification sites.

作者信息

Boileau Etienne, Wilhelmi Harald, Busch Anne, Cappannini Andrea, Hildebrand Andreas, Bujnicki Janusz M, Dieterich Christoph

机构信息

Klaus Tschira Institute for Integrative Computational Cardiology, Im Neuenheimer Feld 669, 69120 Heidelberg, Germany.

Department of Internal Medicine III, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D310-D317. doi: 10.1093/nar/gkae972.

Abstract

We present Sci-ModoM, the first next-generation RNome database offering a holistic view of the epitranscriptomic landscape. Sci-ModoM has a simple yet powerful interface, underpinned by FAIR data principles, a standardized nomenclature, and interoperable formats, fostering the use of common standards within the epitranscriptomics community. Sci-ModoM provides quantitative measurements per site and dataset, enabling users to assess confidence levels based on score, coverage, and stoichiometry. Data in Sci-ModoM is directly traceable to its sources. Users can Search and Compare over six million modifications across 156 datasets, Browse or download datasets, and retrieve metadata. A comparison tool offers a novel and unique opportunity to compare modifications site-wise across datasets, with the ability to securely upload and compare user data against latest published research. Sci-ModoM empowers researchers, including non-experts, to access a broad spectrum of recent quantitative RNA modification data, thereby enhancing the utility and impact of latest discoveries, and opening new avenues in biological and medical research.

摘要

我们展示了Sci-ModoM,这是首个提供转录组全景整体视图的下一代RNAome数据库。Sci-ModoM拥有简洁而强大的界面,以FAIR数据原则、标准化命名法和可互操作格式为支撑,促进了转录组学界通用标准的使用。Sci-ModoM提供每个位点和数据集的定量测量,使用户能够基于分数、覆盖率和化学计量比来评估置信水平。Sci-ModoM中的数据可直接追溯到其来源。用户可以在156个数据集中搜索和比较超过600万个修饰,浏览或下载数据集,并检索元数据。一个比较工具提供了一个新颖独特的机会,可以跨数据集按位点比较修饰,还能够安全地上传用户数据并与最新发表的研究进行比较。Sci-ModoM使研究人员,包括非专家,能够获取广泛的最新定量RNA修饰数据,从而增强最新发现的实用性和影响力,并为生物学和医学研究开辟新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caea/11701610/d3781fb3aa30/gkae972figgra1.jpg

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