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Bioinformatics for Omics Data

  • Kartonierter Einband
  • 584 Seiten
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Presenting an area of research that intersects with and integrates diverse disciplines, Bioinformatics for Omics Data: Methods and... Weiterlesen
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Beschreibung

Presenting an area of research that intersects with and integrates diverse disciplines, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study.

Provides solid practical guidelines as well as inspiration for continuing the study of this complex field

Serves scientists with concrete implementation advice for many computational applications

Includes expert tips for troubleshooting and avoiding known pitfalls



Inhalt
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 Glöckler, Paul Perco, and Arno Lukas 5. Statistical Analysis Principles for Omics Data Daniela Dunkler, Fátima Sánchez-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 Fátima Sánchez-Cabo, Johannes Rainer, Ana Dopazo, Zlatko Trajanoski, and Hubert Hackl 14. Bioinformatics for RNomics Kristin Reiche, Katharina Schutt, Kerstin Ullmann, Friedemann Horn, and Jörg Hackermüller 15. Bioinformatics for Qualitative and Quantitative Proteomics Chris Bielow, Clemens Gr¨opl, 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 Mühlberger, 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

Produktinformationen

Titel: Bioinformatics for Omics Data
Untertitel: Methods and Protocols
Editor:
EAN: 9781493957804
ISBN: 978-1-4939-5780-4
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Biologie
Anzahl Seiten: 584
Gewicht: 1119g
Größe: H254mm x B254mm x T178mm
Jahr: 2016
Auflage: Softcover reprint of the original 1st ed. 2011

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