Bioinformatics for omics data : methods and protocols
著者
書誌事項
Bioinformatics for omics data : methods and protocols
（Springer protocols）（Methods in molecular biology / John M. Walker, series editor, v. 719）
Humana Press, c2011
大学図書館所蔵 全2件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 (TM) 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.
目次
Part I: Omics Bioinformatics Fundamentals
1. Omics Technologies, Data, and Bioinformatics Principles
Maria V. Schneider and Sandra Orchard
2. Data Standards for Omics Data: The Basis of Data Sharing and Reuse
Stephen A. Chervitz, Eric W. Deutsch, Dawn Field, Helen Parkinson, John Quackenbush, Phillipe Rocca-Serra, Susanna-Assunta Sansone, Christian J. Stoeckert, Jr., Chris F. Taylor, Ronald Taylor, and Catherine A. Ball
3. Omics Data Management and Annotation
Arye Harel, Irina Dalah, Shmuel Pietrokovski, Marilyn Safran, and Doron Lancet
4. Data and Knowledge Management in Cross-Omics Research Projects
Martin Wiesinger, Martin Haiduk, Marco Behr, Henrique Lopes de Abreu Madeira, Gernot Gloeckler, Paul Perco, and Arno Lukas
5. Statistical Analysis Principles for Omics Data
Daniela Dunkler, Fatima Sanchez-Cabo, and Georg Heinze
6. Statistical Methods and Models for Bridging Omics Data Levels
Simon Rogers
7. Analysis of Time Course Omics Datasets
Martin G. Grigorov
8. The Use and Abuse of -Omes
Sonja J. Prohaska and Peter F. Stadler
Part II: Omics Data and Analysis Tracks
9. Computational Analysis of High Throughput Sequencing Data
Steve Hoffmann
10. Analysis of Single Nucleotide Polymorphisms in Case-Control Studies
Yonghong Li, Dov Shiffman, and Rainer Oberbauer
11. Bioinformatics for Copy Number Variation Data
Melissa Warden, Roger Pique-Regi, Antonio Ortega, and Shahab Asgharzadeh
12. Processing ChIP-chip Data: From the Scanner to the Browser
Pierre Cauchy, Touati Benoukraf, and Pierre Ferrier
13. Insights Into Global Mechanisms and Disease by Gene Expression Profiling
Fatima Sanchez-Cabo, Johannes Rainer, Ana Dopazo, Zlatko Trajanoski, and Hubert Hackl
14. Bioinformatics for RNomics
Kristin Reiche, Katharina Schutt, Kerstin Ullmann, Friedemann Horn, and Joerg Hackermuller
15. Bioinformatics for Qualitative and Quantitative Proteomics
Chris Bielow, Clemens Gropl, Oliver Kohlbacher, and Knut Reinert
16. Bioinformatics for Mass Spectrometry-Based Metabolomics
David P. Enot, Bernd Haas, and Klaus M. Weinberger
Part III: Applied Omics Bioinformatics
17. Computational Analysis Workflows for Omics Data Interpretation
Irmgard Muhlberger, Julia Wilflingseder, Andreas Bernthaler, Raul Fechete, Arno Lukas, and Paul Perco
18. Integration, Warehousing, and Analysis Strategies of Omics Data
Srinubabu Gedela
19. Integrating Omics Data for Signaling Pathways, Interactome Reconstruction, and Functional Analysis
Paolo Tieri, Alberto de la Fuente, Alberto Termanini, and Claudio Franceschi
20. Network Inference from Time-Dependent Omics Data
Paola Lecca, Thanh-Phuong Nguyen, Corrado Priami, and Paola Quaglia
21. Omics and Literature Mining
Vinod Kumar and Craig Volker
22. Omics-Bioinformatics in the Context of Clinical Data
Gert Mayer, Georg Heinze, Harald Mischak, Merel R. Hellemons, Hiddo J. Lambers Heerspink, Stephan J.L. Bakker, Dick de Zeeuw, Martin Haiduk, Peter Rossing, and Rainer Oberbauer
23. Omics-Based Identification of Pathophysiological Processes
Hiroshi Tanaka and Soichi Ogishima
24. Data Mining Methods in Omics-Based Biomarker Discovery
Fan Zhang and Jake Y. Chen
25. Integrated Bioinformatics Analysis for Cancer Target Identification
Yongliang Yang, S. James Adelstein, and Amin I. Kassis
26. Omics-Based Molecular Target and Biomarker Identification
Zhang-Zhi Hu, Hongzhan Huang, Cathy H. Wu, Mira Jung, Anatoly Dritschilo, Anna T. Riegel, and Anton Wellstein
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