Protein Function Prediction for Omics Era, Daisuke Kihara
Автор: Barh, Debmalya Название: Omics Technologies and Bio-engineering ISBN: 0128046597 ISBN-13(EAN): 9780128046593 Издательство: Elsevier Science Рейтинг: Цена: 17180.00 р. Наличие на складе: Поставка под заказ.
Описание:
Omics Technologies and Bio-Engineering: Towards Improving Quality of Life is a unique reference that brings together multiple perspectives on omics research, providing in-depth analysis and insights from an international team of authors. The book delivers pivotal information that will inform and improve medical and biological research by helping readers gain more direct access to analytic data, an increased understanding on data evaluation, and a comprehensive picture on how to use omics data in molecular biology, biotechnology and human health care.
Covers various aspects of biotechnology and bio-engineering using omics technologies
Focuses on the latest developments in the field, including biofuel technologies
Provides key insights into omics approaches in personalized and precision medicine
Provides a complete picture on how one can utilize omics data in molecular biology, biotechnology and human health care
Автор: Hakeem Название: Plant Omics: Trends and Applications ISBN: 3319317016 ISBN-13(EAN): 9783319317014 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
To comprehend the organizational principle of cellular functions at diff erent levels, an integrative approach with large-scale experiments, the so-called ‘omics’ data including genomics, transcriptomics, proteomics, and metabolomics, is needed. Omics aims at the collective characterization and quantifi cation of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms. Currently, omics is an essential tool to understand the molecular systems that underlie various plant functions. Furthermore, in several plant species, the development of omics
resources has progressed to address the particular biological properties of individual species. Integration of knowledge from omics-based research is an emerging issue as researchers seek to identify significance, gain biological insights and promote translational research. From these perspectives, we intend to provide the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances. Th e present book covers a wide range of omics topics, and discusses the latest trends and application area of plant sciences. In this volume, we have highlighted the working solutions as well as open problems and future challenges in plant omics studies. We believe that this book will initiate and introduce readers to state-of-the-art developments and trends in omics-driven research.
Описание: The book is about the seed development in the model and crop plants. Seed development is a key step of the plant life cycle that determines the nutrient value of seeds - the life for human civilization, growth, and development.
Автор: Debmalya Barh; Muhammad Sarwar Khan; Eric Davies Название: PlantOmics: The Omics of Plant Science ISBN: 8132221710 ISBN-13(EAN): 9788132221715 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: PlantOmics: The Omics of Plant Science provides a comprehensive account of the latest trends and developments of omics technologies or approaches and their applications in plant science. Thirty chapters written by 90 experts from 15 countries are included in this state-of-the-art book. Each chapter describes one topic/omics such as: omics in model plants, spectroscopy for plants, next generation sequencing, functional genomics, cyto-metagenomics, epigenomics, miRNAomics, proteomics, metabolomics, glycomics, lipidomics, secretomics, phenomics, cytomics, physiomics, signalomics, thiolomics, organelle omics, micro morphomics, microbiomics, cryobionomics, nanotechnology, pharmacogenomics, and computational systems biology for plants. It provides up to date information, technologies, and their applications that can be adopted and applied easily for deeper understanding plant biology and therefore will be helpful in developing the strategy for generating cost-effective superior plants for various purposes. In the last chapter, the editors have proposed several new areas in plant omics that may be explored in order to develop an integrated meta-omics strategy to ensure the world and earth’s health and related issues. This book will be a valuable resource to students and researchers in the field of cutting-edge plant omics.
Автор: Debmalya Barh; Dipali Dhawan; Nirmal Kumar Ganguly Название: Omics for Personalized Medicine ISBN: 8132228766 ISBN-13(EAN): 9788132228769 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details how the pharmacogenomics and omics technologies are transforming the medicine and the health care sector for the better. It covers all aspects of pharmacogenomics and its disease-specific applications.
Автор: Debmalya Barh; Dipali Dhawan; Nirmal Kumar Ganguly Название: Omics for Personalized Medicine ISBN: 8132211839 ISBN-13(EAN): 9788132211839 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details how the pharmacogenomics and omics technologies are transforming the medicine and the health care sector for the better. It covers all aspects of pharmacogenomics and its disease-specific applications.
Автор: Bernd Mayer Название: Bioinformatics for Omics Data ISBN: 1493957805 ISBN-13(EAN): 9781493957804 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting an area of research that intersects with and integrates diverse disciplines, including molecular biology, applied informatics, and statistics, among others, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study. Divided into three convenient sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing Omics profiles, followed by a section on bioinformatics approaches for specific Omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated Omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bioinformatics for Omics Data: Methods and Protocols serves as an ideal guide to scientists of all backgrounds and aims to convey the appropriate sense of fascination associated with this research field.
Автор: William C.S. Cho Название: An Omics Perspective on Cancer Research ISBN: 9400790635 ISBN-13(EAN): 9789400790636 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The emerging omics field offers new developments in cancer research. Topics like cancer-associated gene discovery and drug validation are among the highlights outlined in this valuable reference, as well as an integration approach for cancer research.
New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks.
Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.
Автор: Daisuke Kihara Название: Protein Function Prediction ISBN: 1493970135 ISBN-13(EAN): 9781493970131 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface... Table of Contents... Contributing Authors... 1. Using PFP and ESG Protein Function Prediction Web Servers Qing Wei, Joshua McGraw, Ishita Khan, and Daisuke Kihara 2. GHOSTX: A Fast Sequence Homology Search Tool for Functional Annotation of Metagenomic Data Shuji Suzuki, Takashi Ishida, Masahito Ohue, Masanori Kakuta, and Yutaka Akiyama 3. From Gene Annotation to Function Prediction for Metagenomics Fatemeh Sharifi and Yuzhen Ye 4. An Agile Functional Analysis of Metagenomic Data using SUPER-FOCUS Genivaldo Gueiros Z. Silva, Fabyano A. C. Lopes, and Robert A. Edwards 5. MPFit: Computational Tool for Predicting Moonlighting Proteins Ishita Khan, Joshua McGraw, and Daisuke Kihara 6. Predicting Secretory Proteins with SignalP Henrik Nielsen 7. The ProFunc Function Prediction Server Roman A. Laskowski 8. G-LoSA for Prediction of Protein-Ligand Binding Sites and Structures Hui Sun Lee andWonpil Im 9. Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning Michal Brylinski 10. WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and Visualization Ying Yang, Bingjie Hu, and Markus A. Lill 11. Enzyme Annotation and Metabolic Reconstruction Using KEGG Minoru Kanehisa 12. Ortholog Identification and Comparative Analysis of Microbial Genomes using MBGD and RECOG Ikuo Uchiyama 13. Exploring Protein Function Using the Saccharomyces Genome Database Edith D. Wong 14. Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates using MouseNet Server Eiru Kim and Insuk Lee 15. The FANTOM5 Computation Ecosystem: Genomic Information Hub for Promoters and Active Enhancers Imad Abugessaisa, Shuhei Noguchi, Piero Carninci, and Takeya Kasukawa 16. Multi-Algorithm Particle Simulations with Spatiocyte Satya N. V. Arjunan and Koichi Takahashi
Автор: Daisuke Kihara Название: Protein Structure Prediction ISBN: 1493944614 ISBN-13(EAN): 9781493944613 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1. Protein Structure Modeling with MODELLER
Benjamin Webb, Andrej Sali
2. RaptorX Server: A Resource for Template-based Protein Structure Modeling
Morten Kдllberg, Gohar Margaryan, Sheng Wang, Jianzhu Ma and Jinbo Xu
3. The MULTICOM Protein Tertiary Structure Prediction System
4. Modeling of Protein Side-chain Conformations with RASP
Miao Zhichao, Cao Yang and Jiang Taijiao
5. Direct Coupling Analysis for Protein Contact Prediction
Faruck Morcos, Terence Hwa, Josй N. Onuchic, Martin Weigt
6. ITScorePro - An Efficient Scoring Program for Evaluating the Energy Scores of Protein Structures for Structure Prediction
Sheng-You Huang and Xiaoqin Zou
7. Assessing the Quality of Modelled 3D Protein Structures using the ModFOLD Server
Daniel Barry Roche, Maria Teresa Buenavista, and Liam James McGuffin
8. 3D-SURFER 2.0: Web Platform for Real-Time Search and Characterization of Protein Surfaces Yi Xiong, Juan Esquivel-Rodriguez, Lee Sael, and Daisuke Kihara
9. SPOT-Seq-RNA: Predicting Protein-RNA Complex Structure and RNA-binding Function by Fold Recognition and Binding Affinity Prediction
Yuedong Yang, Huiying Zhao, Jihua Wang and Yaoqi Zhou
10. POODLE: Tools Predicting Intrinsically Disordered Regions of Amino Acid Sequence
Kana Shimizu
11. Prediction of Intrinsic Disorder in Proteins using MFDp2
Marcin J Mizianty, Vladimir Uversky and Lukasz Kurgan
12. Modeling protein-protein Complexes using the HADDOCK Webserver
G.C.P. van Zundert, and A.M.J.J. Bonvin
13. Predicting the Structure of Protein-protein Complexes using the SwarmDock Web Server
Mieczyslaw Torchala and Paul A. Bates
14. DOCK/PIERR: Web Server for Structure Prediction of Protein--Protein Complexes
S Viswanath, D.V.S. Ravikant and R Elber
15. Pairwise and Multimeric Protein-Protein Docking Using the LZerD Program Suite
Juan Esquivel-Rodriguez, Vianney Filos-Gonzalez, Bin Li, and Daisuke Kihara
16. Protocols for Efficient Simulations of Long Time Protein Dynamics using Coarse-grained CABS Model
Michal Jamroz, Andrzej Kolinski, Sebastian Kmiecik
