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Computational Biology of Non-Coding RNA

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Cover of 'Computational Biology of Non-Coding RNA'

Table of Contents

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    Book Overview
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    Chapter 1 ncRNAs in Inflammatory and Infectious Diseases
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    Chapter 2 p73-Governed miRNA Networks: Translating Bioinformatics Approaches to Therapeutic Solutions for Cancer Metastasis
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    Chapter 3 Methods for Annotation and Validation of Circular RNAs from RNAseq Data
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    Chapter 4 Methods to Study Long Noncoding RNA Expression and Dynamics in Zebrafish Using RNA Sequencing
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    Chapter 5 Workflow Development for the Functional Characterization of ncRNAs
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    Chapter 6 ncRNA Editing: Functional Characterization and Computational Resources
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    Chapter 7 Computational Prediction of Functional MicroRNA–mRNA Interactions
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    Chapter 8 Tools for Understanding miRNA–mRNA Interactions for Reproducible RNA Analysis
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    Chapter 9 Computational Resources for Prediction and Analysis of Functional miRNA and Their Targetome
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    Chapter 10 Noncoding RNAs Databases: Current Status and Trends
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    Chapter 11 Controllability Methods for Identifying Associations Between Critical Control ncRNAs and Human Diseases
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    Chapter 12 Network-Based Methods and Other Approaches for Predicting lncRNA Functions and Disease Associations
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    Chapter 13 Integration of miRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers
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    Chapter 14 Quantitative Characteristic of ncRNA Regulation in Gene Regulatory Networks
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    Chapter 15 Kinetic Modelling of Competition and Depletion of Shared miRNAs by Competing Endogenous RNAs
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    Chapter 16 Modeling ncRNA-Mediated Circuits in Cell Fate Decision
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    Chapter 17 Modeling Long ncRNA-Mediated Regulation in the Mammalian Cell Cycle
Attention for Chapter 10: Noncoding RNAs Databases: Current Status and Trends
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Chapter title
Noncoding RNAs Databases: Current Status and Trends
Chapter number 10
Book title
Computational Biology of Non-Coding RNA
Published by
Humana Press, New York, NY, January 2019
DOI 10.1007/978-1-4939-8982-9_10
Pubmed ID
Book ISBNs
978-1-4939-8981-2, 978-1-4939-8982-9
Authors

Vinicius Maracaja-Coutinho, Alexandre Rossi Paschoal, José Carlos Caris-Maldonado, Pedro Vinícius Borges, Almir José Ferreira, Alan Mitchell Durham

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Professor 2 13%
Other 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 33%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 7%
Social Sciences 1 7%
Unknown 6 40%