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Quantitative DMS mapping for automated RNA secondary structure inference
For decades, dimethyl sulfate (DMS) mapping has informed manual modeling of RNA structure in vitro and in vivo. Here, we incorporate DMS data into automated secondary structure inference using an energy minimization framework developed for 2′-OH acylation (SHAPE) map-ping. On six non-coding RNAs wit...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3448840/ https://ncbi.nlm.nih.gov/pubmed/22913637 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/bi3008802 |
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