RNA Structure Prediction

Junichi Iwakiri

ISBN 10: 1071627678 / ISBN 13: 9781071627679

Editore: Springer US, Springer US Jan 2023, 2023

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Neuware -This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch.

Codice articolo 9781071627679

Dati bibliografici

• Titolo: RNA Structure Prediction
• Editore: Springer US, Springer US Jan 2023
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1071627678
• ISBN 13: 9781071627679
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 260 L x 183 A x 23 P (millimetri) 260 millimetri di larghezza per 183 millimetri di altezza per 23 millimetri di profondità
• Peso: 794 grammi

Descrizione articolo

Riassunto

This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results. 

Authoritative and practical, RNA Structure Prediction serves as a valuable guide for both experimental and computational RNA researchers.