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Non-coding RNAs in complex diseasesa...

Li, Xia.

Non-coding RNAs in complex diseasesa bioinformatics perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Non-coding RNAs in complex diseasesedited by Xia Li ... [et al.].
其他題名:	a bioinformatics perspective /
其他作者:	Li, Xia.
出版者:	Singapore :Springer Singapore :2018.
面頁冊數:	x, 126 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Non-coding RNA.
電子資源:	https://doi.org/10.1007/978-981-13-0719-5
ISBN:	9789811307195$q(electronic bk.)

Non-coding RNAs in complex diseasesa bioinformatics perspective /
Non-coding RNAs in complex diseasesa bioinformatics perspective /[electronic resource] :edited by Xia Li ... [et al.]. - Singapore :Springer Singapore :2018. - x, 126 p. :ill. (some col.), digital ;24 cm. - Advances in experimental medicine and biology,v.10940065-2598 ;. - Advances in experimental medicine and biology ;946..

Chapter 1. Non-coding RNA resources -- Chapter 2. Systematic identification of non-coding RNAs -- Chapter 3. Functional characterization of non-coding RNAs through genomic data fusion -- Chapter 4. Genomic-scale prioritization of disease-related non-coding RNAs -- Chapter 5. Genome-wide mapping of SNPs in non-coding RNAs -- Chapter 6. Profiling DNA methylation patterns of non-coding RNAs (ncRNAs) in human disease -- Chapter 7. Aberrant epigenetic modifications of non-coding RNAs in human disease -- Chapter 8. Computationally modeling ncRNA-ncRNA crosstalk -- Chapter 9. Computational inferring of risk subpathways mediated by dysfunctional non-coding RNAs -- Chapter 10. Computational identification of cross-talking ceRNAs -- Chapter 11. Prediction of non-coding RNAs as drug targets -- Chapter 12. Methods for Identification of Protein-RNA interaction.

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas. Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

ISBN: 9789811307195$q(electronic bk.)

Standard No.: 10.1007/978-981-13-0719-5doiSubjects--Topical Terms:

305876
Non-coding RNA.

LC Class. No.: QP623 / .N663 2018

Dewey Class. No.: 572.88

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505 0 $a Chapter 1. Non-coding RNA resources -- Chapter 2. Systematic identification of non-coding RNAs -- Chapter 3. Functional characterization of non-coding RNAs through genomic data fusion -- Chapter 4. Genomic-scale prioritization of disease-related non-coding RNAs -- Chapter 5. Genome-wide mapping of SNPs in non-coding RNAs -- Chapter 6. Profiling DNA methylation patterns of non-coding RNAs (ncRNAs) in human disease -- Chapter 7. Aberrant epigenetic modifications of non-coding RNAs in human disease -- Chapter 8. Computationally modeling ncRNA-ncRNA crosstalk -- Chapter 9. Computational inferring of risk subpathways mediated by dysfunctional non-coding RNAs -- Chapter 10. Computational identification of cross-talking ceRNAs -- Chapter 11. Prediction of non-coding RNAs as drug targets -- Chapter 12. Methods for Identification of Protein-RNA interaction.
520 $a This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas. Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.
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