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MicroRNA Target Identification

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Cover of 'MicroRNA Target Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Einleitung
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    Chapter 1 A Practical Guide to miRNA Target Prediction
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    Chapter 2 miRandb: A Metadatabase of Online Resources of miRNA and miRNA Targets
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    Chapter 2 Theoretischer Rahmen
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    Chapter 3 Sfold Tools for MicroRNA Target Prediction
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    Chapter 3 Forschungsdesign
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    Chapter 4 Darstellung der Ergebnisse
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    Chapter 4 The Role of Tertiary Structure in MicroRNA Target Recognition
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    Chapter 5 Protocols for miRNA Target Prediction in Plants
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    Chapter 5 Diskussion der Ergebnisse
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    Chapter 6 Improving miRNA Target Prediction Using CLASH Data
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    Chapter 6 Fazit
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    Chapter 7 Integration of Omics Data to Identify Cancer-Related MicroRNA
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    Chapter 8 Functional Analysis of Genetic Variants and Somatic Mutations Impacting MicroRNA-Target Recognition: Bioinformatics Resources
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    Chapter 9 Construction and Analysis of miRNA Regulatory Networks
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    Chapter 10 A Novel EBG-Loaded Dual Band-Notched UWB Antenna
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    Chapter 10 Identification of Disease–miRNA Networks Across Different Cancer Types Using SWIM
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    Chapter 11 Computational Methods to Investigate the Impact of miRNAs on Pathways
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    Chapter 12 isoTar: Consensus Target Prediction with Enrichment Analysis for MicroRNAs Harboring Editing Sites and Other Variations
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    Chapter 13 A Roadmap for the Computational Prediction and Experimental Validation of Competitive Endogenous RNAs
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    Chapter 14 Investigating miRNA–lncRNA Interactions: Computational Tools and Resources
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    Chapter 15 Combing the Hairball: Improving Visualization of miRNA–Target Interaction Networks
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    Chapter 16 Inconsistencies and Limitations of Current MicroRNA Target Identification Methods
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    Chapter 17 Experimental Validation of MicroRNA Targets: Luciferase Reporter Assay
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    Chapter 18 Experimental Validation of MicroRNA Targets: Mutagenesis of Binding Regions
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    Chapter 19 Experimental Validation of MicroRNA Targets: Analysis of MicroRNA Targets Through Western Blotting
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    Chapter 35 High Contrast Ratio Based All-Optical OR and NOR Plasmonic Logic Gate Operating at E Band
Attention for Chapter 12: isoTar: Consensus Target Prediction with Enrichment Analysis for MicroRNAs Harboring Editing Sites and Other Variations
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Chapter title
isoTar: Consensus Target Prediction with Enrichment Analysis for MicroRNAs Harboring Editing Sites and Other Variations
Chapter number 12
Book title
MicroRNA Target Identification
Published by
Humana Press, New York, NY, April 2019
DOI 10.1007/978-1-4939-9207-2_12
Pubmed ID
Book ISBNs
978-1-4939-9206-5, 978-1-4939-9207-2
Authors

Rosario Distefano, Giovanni Nigita, Dario Veneziano, Giulia Romano, Carlo M. Croce, Mario Acunzo, Distefano, Rosario, Nigita, Giovanni, Veneziano, Dario, Romano, Giulia, Croce, Carlo M., Acunzo, Mario

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 25%
Unspecified 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Biochemistry, Genetics and Molecular Biology 2 25%
Unspecified 1 13%
Agricultural and Biological Sciences 1 13%
Computer Science 1 13%
Other 0 0%
Unknown 1 13%