Editors:
- Presents clear methods, accessible to the entire biology community
- Examines methods to predict small non-coding RNA based on sequence
- Includes tips from the experts on how best to implement the techniques
Part of the book series: Methods in Molecular Biology (MIMB, volume 1107)
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Table of contents (19 protocols)
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Front Matter
About this book
In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective. These include methods and techniques ranging from miRNA biogenesis, their biological function, computational analyses to their medical implications and applications. 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 key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, miRNomics: MicroRNA Biology and Computational Analysis seeks to aid scientists in the further study into miRNA research and statistics.
Editors and Affiliations
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Dabburiya Village, Israel
Malik Yousef
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Izmir Institute of Technology, Izmir, Turkey
Jens Allmer
Bibliographic Information
Book Title: miRNomics: MicroRNA Biology and Computational Analysis
Editors: Malik Yousef, Jens Allmer
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-62703-748-8
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-62703-747-1Published: 23 November 2013
Softcover ISBN: 978-1-4939-6264-8Published: 23 August 2016
eBook ISBN: 978-1-62703-748-8Published: 23 November 2013
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 333
Number of Illustrations: 68 b/w illustrations, 1 illustrations in colour
Topics: Human Genetics, Gene Function