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

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.

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Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2024-11-05
DOI
https://doi.org/10.1093/nar/gkae972
Citations
11
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
2.57

Funders

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article

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

Janusz M. Bujnicki, Andrea Cappannini, Anne Busch, Andreas Hildebrandt et al.
11 citations
Nucleic Acids Research
RNA modifications and cancer
2.57
article

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

Janusz M. Bujnicki, Andrea Cappannini, Anne Busch, Andreas Hildebrandt, Etienne Boileau, Christoph Dieterich, Harald Wilhelmi
article en
11 citations

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.

Nucleic Acids ResearchVol. 53(D1)
Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), German Center for Infection Research (DE), International Institute of Molecular and Cell Biology (PL), German Centre for Cardiovascular Research (DE), Integrative Medicine Institute (US)
Deutsche Forschungsgemeinschaft
Partnerships for the goals
Openalex Percentile: Top 10%
RNA modifications and cancer
2.57
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