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.
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.
Includes cutting-edge techniques Provides step-by-step detail essential for reproducible results Contains key implementation advice from the experts
Risa Karakida Kawaguchi
RNA secondary structure In silico structure prediction 3D structure analyses Machine learning RNA 3D structure databases Computational prediction and design