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.
Edited by:
Risa Karakida Kawaguchi, Junichi Iwakiri Imprint: Springer-Verlag New York Inc. Country of Publication: United States Edition: 2023 ed. Volume: 2586 Dimensions:
Height: 254mm,
Width: 178mm,
Weight: 603g ISBN:9781071627709 ISBN 10: 1071627708 Series:Methods in Molecular Biology Pages: 290 Publication Date:28 January 2024 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active