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Bioinformatics in Microrna Research, Huang Jingshan, Borchert Glen M., Dou Dejing


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Автор: Huang Jingshan, Borchert Glen M., Dou Dejing
Название:  Bioinformatics in Microrna Research
ISBN: 9781493983766
Издательство: Springer
Классификация:

ISBN-10: 1493983768
Обложка/Формат: Paperback
Страницы: 285
Вес: 0.42 кг.
Дата издания: 08.08.2018
Серия: Methods in molecular biology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 18 tables, color; 18 illustrations, color; 6 illustrations, black and white; x, 285 p. 24 illus., 18 illus. in color.
Размер: 23.39 x 15.60 x 1.57 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

1. MicroRNAs, Long Non-Coding RNAs, and Their Functions in Human Disease

Min Xue, Ying Zhuo, and Bin Shan

2. MicroRNA Expression: Protein Participants in MicroRNA Regulation

Valeria M. King and Glen M. Borchert

3. Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs

Sara-Elizabeth Cardin and Glen M. Borchert

4. MicroRNAs: Biomarkers, Diagnostics, and Therapeutics

Weili Huang

5. Relational Databases and Biomedical Big Data

N.H. Nisansa D. de Silva

6. Semantic Technologies and Bio-Ontologies

Fernando Gutierrez

7. Genome-Wide Analysis of MicroRNA-Regulated Transcripts

David Chevalier and Glen M. Borchert

8. Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources

Justin T. Roberts and Glen M. Borchert

9. Exploring MicroRNA:: Target Regulatory Interactions by Computing Technologies

Yue Hu, Wenjun Lan, and Daniel Miller

10. The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy

Rasiah Loganantharaj and Thomas A. Randall

11. Genomic Regulation of MicroRNA Expression in Disease Development

Feng Liu

12. Next Generation Sequencing for MicroRNA Expression Profile

Yue Hu, Wenjun Lan, and Daniel Miller

13. Handling High-Dimension (High-Feature) MicroRNA Data

Yue Hu, Wenjun Lan, and Daniel Miller

14. Effective Removal of Noisy Data Via Batch Effect Processing

Ryan G. Benton

15. Logical Reasoning (Inferencing) on MicroRNA Data

Jingsong Wang

16. Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions

Sumi Singh, Ryan G. Benton, Anurag Singh, and Anshuman Singh

17. Involvement of MicroRNAs in Diabetes and Its Complications

Bin Wu and Daniel Miller

18. MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role

Lihua Zhang, Daniel Miller, Qiuping Yang, and Bin Wu

19. Expression of MicroRNAs in Thyroid Carcinoma

Gaohong Zhu, Lijun Xie, and Daniel Miller




Bioinformatics in MicroRNA Research

Автор: Jingshan Huang; Glen M. Borchert; Dejing Dou; Jun
Название: Bioinformatics in MicroRNA Research
ISBN: 1493970445 ISBN-13(EAN): 9781493970445
Издательство: Springer
Рейтинг:
Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

1. MicroRNAs, Long Non-Coding RNAs, and Their Functions in Human Disease

Min Xue, Ying Zhuo, and Bin Shan

2. MicroRNA Expression: Protein Participants in MicroRNA Regulation

Valeria M. King and Glen M. Borchert

3. Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs

Sara-Elizabeth Cardin and Glen M. Borchert

4. MicroRNAs: Biomarkers, Diagnostics, and Therapeutics

Weili Huang

5. Relational Databases and Biomedical Big Data

N.H. Nisansa D. de Silva

6. Semantic Technologies and Bio-Ontologies

Fernando Gutierrez

7. Genome-Wide Analysis of MicroRNA-Regulated Transcripts

David Chevalier and Glen M. Borchert

8. Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources

Justin T. Roberts and Glen M. Borchert

9. Exploring MicroRNA:: Target Regulatory Interactions by Computing Technologies

Yue Hu, Wenjun Lan, and Daniel Miller

10. The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy

Rasiah Loganantharaj and Thomas A. Randall

11. Genomic Regulation of MicroRNA Expression in Disease Development

Feng Liu

12. Next Generation Sequencing for MicroRNA Expression Profile

Yue Hu, Wenjun Lan, and Daniel Miller

13. Handling High-Dimension (High-Feature) MicroRNA Data

Yue Hu, Wenjun Lan, and Daniel Miller

14. Effective Removal of Noisy Data Via Batch Effect Processing

Ryan G. Benton

15. Logical Reasoning (Inferencing) on MicroRNA Data

Jingsong Wang

16. Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions

Sumi Singh, Ryan G. Benton, Anurag Singh, and Anshuman Singh

17. Involvement of MicroRNAs in Diabetes and Its Complications

Bin Wu and Daniel Miller

18. MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role

Lihua Zhang, Daniel Miller, Qiuping Yang, and Bin Wu

19. Expression of MicroRNAs in Thyroid Carcinoma

Gaohong Zhu, Lijun Xie, and Daniel Miller

Microrna perspectives in health an

Автор: Paul
Название: Microrna perspectives in health an
ISBN: 1138054836 ISBN-13(EAN): 9781138054837
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: This book explores the role of miRNA as therapeutic agents, the progress made in this direction and the problems that need to be addressed for miRNA based therapies to become successful. It also discusses the basic biology of miRNA sythesis, regulation, and their role in disease biology.

miRNomics: MicroRNA Biology and Computational Analysis

Автор: Malik Yousef; Jens Allmer
Название: miRNomics: MicroRNA Biology and Computational Analysis
ISBN: 1627037470 ISBN-13(EAN): 9781627037471
Издательство: Springer
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Цена: 13415.00 р.
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Описание: 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.

MicroRNA Cancer Regulation

Автор: Ulf Schmitz; Olaf Wolkenhauer; Julio Vera
Название: MicroRNA Cancer Regulation
ISBN: 9402400796 ISBN-13(EAN): 9789402400793
Издательство: Springer
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Цена: 20516.00 р.
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Описание: This book discusses the role of microRNAs in the formation and progression of solid tumors. The main focus is on computational methods and applications, together with experimental techniques used to approach all aspects of microRNA regulation in cancer.

Exosomes, Stem Cells and MicroRNA

Автор: Karl L. Mettinger; Pranela Rameshwar; Vinod Kumar
Название: Exosomes, Stem Cells and MicroRNA
ISBN: 3030089991 ISBN-13(EAN): 9783030089993
Издательство: Springer
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Цена: 19514.00 р.
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Описание: This volume provides insight into the pivotal roles of stem cells, exosomes and other microvesicles in biofunction and molecular mechanisms and their therapeutic potential in translational nanomedicine. It further highlights evidence from recent studies as to how stem cell derived exosomes and microRNAs may restore and maintain tissue homeostasis, enable cells to recover critical cellular functions and begin repair regeneration. These early studies in animal models of aging also show evidence of improved immune, cardiovascular and cognitive functions as well as improved health span and life span. The use of exosomes from body fluids to define specific biomarkers for various tumors may also clear the path to patient-targeted treatments by developing exosome-derived microRNA based cancer therapeutics. It is essential reading for graduate students, research fellow and biomedical researchers in academia or the pharmaceutical or biotech industries.

MicroRNA Profiling

Автор: Rani
Название: MicroRNA Profiling
ISBN: 1493965220 ISBN-13(EAN): 9781493965229
Издательство: Springer
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Цена: 15855.00 р.
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Описание: This volume includes comprehensive descriptions of miRNA biogenesis and their role in the development and progression of various human diseases. The first few chapters of MicroRNA Profiling: Methods and Protocols discuss the effects of over-expressing and repressing of a target miRNA and their effects on cell viability and proliferation. The next few chapters explore the protocols for total RNA isolation from cells and cell-derived product including formalin fixed paraffin embedded tissue and plant tissue. The last few chapters discuss isolation and characterization of exosomes from medium conditioned by cell lines, serum, and plasma specimens. This book also includes discussions of several software tools, such as miRandola, PicTar, DIANA, and miRWalk. 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 tips on troubleshooting and avoiding known pitfalls.Comprehensive and cutting-edge, MicroRNA Profiling: Methods and Protocols is a valuable resource for anyone interested in the field of Micro RNAs.

Bioinformatics Research and Applications

Автор: Ion Mandoiu; Giri Narasimhan; Yanqing Zhang
Название: Bioinformatics Research and Applications
ISBN: 3642015506 ISBN-13(EAN): 9783642015502
Издательство: Springer
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Цена: 9146.00 р.
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Описание: Constitutes the refereed proceedings of the 5th International Symposium on Bioinformatics Research and Applications, ISBRA 2009, held in Fort Lauderdale, FL, USA, in May 2009. This title covers a wide range of topics, including clustering and classification, gene expression analysis, gene networks, genome analysis, and protein domain interactions.

Bioinformatics Research and Applications: 16th International Symposium, Isbra 2020, Moscow, Russia, December 1-4, 2020, Proceedings

Автор: Cai Zhipeng, Mandoiu Ion, Narasimhan Giri
Название: Bioinformatics Research and Applications: 16th International Symposium, Isbra 2020, Moscow, Russia, December 1-4, 2020, Proceedings
ISBN: 3030578208 ISBN-13(EAN): 9783030578206
Издательство: Springer
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Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions.

Bioinformatics Methods in Clinical Research

Автор: Rune Matthiesen
Название: Bioinformatics Methods in Clinical Research
ISBN: 1617796700 ISBN-13(EAN): 9781617796708
Издательство: Springer
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Цена: 17684.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Covering the latest developments in clinical omics, this volume details the algorithms currently used in publicly available software tools. It looks at statistics, algorithms, automated data retrieval, and experimental consideration in the various omics areas.

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 21953.00 р.
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

Current trends in bioinformatics :

Автор: Wadhwa, Gulshan.
Название: Current trends in bioinformatics :
ISBN: 981107481X ISBN-13(EAN): 9789811074813
Издательство: Springer
Рейтинг:
Цена: 18294.00 р.
Наличие на складе: Нет в наличии.

Описание: This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories.

From Protein Structure to Function with Bioinformatics

Автор: J. Rigden, Daniel (Ed.)
Название: From Protein Structure to Function with Bioinformatics
ISBN: 9402414827 ISBN-13(EAN): 9789402414820
Издательство: Springer
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Цена: 36589.00 р.
Наличие на складе: Нет в наличии.

Описание: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.


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