Omics Approaches to Understanding Muscle Biology (Paperback, 1st ed. 2019)

This book is a collection of principles and current practices in omics research, applied to skeletal muscle physiology and disorders. The various sections are categorized according to the level of biological organization, namely, genomics (DNA), transcriptomics (RNA), proteomics (protein), and metabolomics (metabolite). With skeletal muscle as the unifying theme, and featuring contributions from leading experts in this traditional field of research, it highlights the importance of skeletal muscle tissue in human development, health and successful ageing. It also discusses other fascinating topics like developmental biology, muscular dystrophies, exercise, insulin resistance and atrophy due to disuse, ageing or other muscle diseases, conveying the vast opportunities for generating new hypotheses as well as testing existing hypotheses by combining high-throughput techniques with proper experiment designs, bioinformatics and statistical analyses. Presenting the latest research techniques, this book is a valuable resource for the physiology community, particularly researchers and grad students who want to explore the new opportunities for omics technologies in basic physiology research.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Physiology
Release date:	November 2020
First published:	2019
Editors:	Jatin George Burniston • Yi-Wen Chen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	217
Edition:	1st ed. 2019
ISBN-13:	978-1-4939-9804-3
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Medical genetics Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Science & Mathematics > Biology, life sciences > Biochemistry > Proteins Books > Science & Mathematics > Biology, life sciences > Cellular biology > General Promotions
LSN:	1-4939-9804-8
Barcode:	9781493998043

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