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 standard...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
6 January 2025
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| In: |
Nucleic acids research
Year: 2025, Jahrgang: 53, Heft: D1, Pages: 310-317 |
| ISSN: | 1362-4962 |
| DOI: | 10.1093/nar/gkae972 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1093/nar/gkae972
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| Verfasserangaben: | Etienne Boileau, Harald Wilhelmi, Anne Busch, Andrea Cappannini, Andreas Hildebrand, Janusz M Bujnicki, Christoph Dieterich |
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| 245 | 1 | 0 | |a Sci-ModoM |b a quantitative database of transcriptome-wide high-throughput RNA modification sites |c Etienne Boileau, Harald Wilhelmi, Anne Busch, Andrea Cappannini, Andreas Hildebrand, Janusz M Bujnicki, Christoph Dieterich |
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| 520 | |a 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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