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Statistical analysis of SHAPE-directed RNA secondary structure modeling
The ability to predict RNA secondary structure is fundamental for understanding and manipulating RNA function. The structural information obtained from selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) experiments greatly improves the accuracy of RNA secondary structure predi...
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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: |
2013
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3558531/ https://ncbi.nlm.nih.gov/pubmed/23286327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/bi300756s |
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