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Long Non-Coding Rnas: Methods and Protocols (Methods in Molecular Biology) Hardback -
by Yi Feng (Editor); Lin Zhang (Editor)
- New
- Hardback
A$253.27
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Details
- Title Long Non-Coding Rnas: Methods and Protocols (Methods in Molecular Biology)
- Author Yi Feng (Editor); Lin Zhang (Editor)
- Binding Hardback
- Condition New
- Pages 298
- Volumes 1
- Language ENG
- Publisher Humana Press
- Publication date pp. 300
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 6372741984
- ISBN 9781493933761 / 1493933760
- Weight 1.67 lbs (0.76 kg)
- Dimensions 10 x 7 x 0.75 in (25.40 x 17.78 x 1.91 cm)
- Category Medical / Nursing
- Library of Congress subjects Molecular biology, Non-coding RNA
- Library of Congress Catalogue Number 2015957247
- Dewey Decimal Code 572.88
- Quantity available 4
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From the publisher
From the rear cover
This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA. Long Non-Coding RNAs: Methods and Protocols also discusses methods used to study circular RNAs and RNA splicing, as well as influential findings on lncRNA in human diseases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.
Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.
