Bioinformatics for Omics Data
Humana Press Inc. (Verlag)
978-1-61779-026-3 (ISBN)
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.
Omics Technologies, Data, and Bioinformatics Principles.- Data Standards for Omics Data: The Basis of Data Sharing and Reuse.- Omics Data Management and Annotation.- Data and Knowledge Management in Cross-Omics Research Projects.- Statistical Analysis Principles for Omics Data.- Statistical Methods and Models for Bridging Omics Data Levels.- Analysis of Time Course Omics Datasets.- The Use and Abuse of -Omes.- Computational Analysis of High Throughput Sequencing Data.- Analysis of Single Nucleotide Polymorphisms in Case-Control Studies.- Bioinformatics for Copy Number Variation Data.- Processing ChIP-chip Data: From the Scanner to the Browser.- Insights Into Global Mechanisms and Disease by Gene Expression Profiling.- Bioinformatics for RNomics.- Bioinformatics for Qualitative and Quantitative Proteomics.- Bioinformatics for Mass Spectrometry-Based Metabolomics.- Computational Analysis Workflows for Omics Data Interpretation.- Integration, Warehousing, and Analysis Strategies of Omics Data.- Integrating Omics Data for Signaling Pathways, Interactome Reconstruction, and Functional Analysis.- Network Inference from Time-Dependent Omics Data.- Omics and Literature Mining.- Omics-Bioinformatics in the Context of Clinical Data.- Omics-Based Identification of Pathophysiological Processes.- Data Mining Methods in Omics-Based Biomarker Discovery.- Integrated Bioinformatics Analysis for Cancer Target Identification.- Omics-Based Molecular Target and Biomarker Identification.
Erscheint lt. Verlag | 3.3.2011 |
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Reihe/Serie | Methods in Molecular Biology ; 719 |
Zusatzinfo | XII, 584 p. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 1-61779-026-5 / 1617790265 |
ISBN-13 | 978-1-61779-026-3 / 9781617790263 |
Zustand | Neuware |
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