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Biomedical Sciences - Human Genetics | miRNomics: MicroRNA Biology and Computational Analysis

miRNomics: MicroRNA Biology and Computational Analysis

Series: Methods in Molecular Biology, Vol. 1107

Yousef, Malik, Allmer, Jens (Eds.)

2014, XII, 333 p. 69 illus., 1 illus. in color.

A product of Humana Press
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  • 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 to best to implement the techniques

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.

Content Level » Professional/practitioner

Keywords » Micro RNAs - biogenesis of miRNAs - biological function - medical implications - miRNAs

Related subjects » Human Genetics

Table of contents 

1. Introduction to MicroRNAs in Biological Systems

Ayşe Elif Erson-Bensan

2. The Role of MicroRNA's in Biological Processes 

Kemal Uğur Tüfekci, Ralph Leo Johan Meuwissen, and Şermin Genç

3. The Role of MicroRNAs in Human Diseases

Kemal Uğur Tüfekci, Meryem Gülfem Öner, Ralph Leo Johan Meuwissen, and Şermin Genç

4. Introduction to Bioinformatics

Tolga Can

5. MicroRNA and Non-Coding RNA Related Date Sources

Patrizio Arrigo

6. High Throughput Approaches for MicroRNA Expression Analysis

Bala Gür Dedeoğlu

7. Introduction to Machine Learning

Yalın Baştanlar and Mustafa Özuysal

8. Introduction to Statistical Methods for MicroRNA Analysis

Gökmen Zararsiz and Erdal Coşgun

9. Computational Bioinformatics Methods for MicroRNA Gene Prediction

Jens Allmer

10. Machine Learning Methods for MicroRNA Gene Prediction

Müşerref Duygu Saçar and Jens Allmer

11. Functional, Structural, and Sequence Studies of MicroRNA

Chanchal K Mitra and Kalyani Korla

12. Computational Methods for MicroRNA Target Prediction

Hamid Hamzeiy, Jens Allmer, and Malik Yousef

13. MicroRNA Target and Gene Validation in Viruses and Bacteria Patrizio Arrigo and D Baroni

14. Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells

Bünyamin Akgül and Çağdaş Göktaş

15. Computational Prediction of MicroRNA Function and Activity Hasan Oğul

16. Analysis of MicroRNA Expression using Machine Learning

Henry Wirth, Mehmet Volkan Çakır, Lydia Hopp, and Hans Binder

17. MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer

Mehmet Volkan Çakır, Henry Wirth, Lydia Hopp, and Hans Binder

18. Master Regulators of Post-Transcriptional Gene Expression are Subject to Regulation

Syed Muhammad Hamid and Bünyamin Akgül

19. Use of MicroRNAs in Personalized Medicine

Çığır Biray Avcı and Yusuf Baran

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