RNA Structure Prediction (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2586
Release date:	February 2023
First published:	2023
Editors:	Risa Karakida Kawaguchi • Junichi Iwakiri
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	290
Edition:	1st ed. 2023
ISBN-13:	978-1-07-162767-9
Categories:	Books > Science & Mathematics > Chemistry > Physical chemistry > Quantum & theoretical chemistry Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	1-07-162767-8
Barcode:	9781071627679

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