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Bioinformatics for omics data : methods and protocols / edited by Bernd Mayer.

Contributor(s): Mayer, B. (Bernd), 1959-Material type: TextTextSeries: Springer protocols (Series) | Methods in molecular biology (Clifton, N.J.) ; v. 719.Publication details: New York, NY : Humana, ©2011. Description: 1 online resource (xii, 584 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781617790270; 1617790273Subject(s): Bioinformatics | Computational Biology -- methods | Computational Biology | Bio-informatique | Bioinformatics | Biology | Health & Biological Sciences | Biophysics | Biology - General | bioinformatics | computertechnieken | computer techniques | systeembiologie | systems biology | methodologie | methodology | protocollen | protocols | Bioinformatics (General) | Bioinformatica (algemeen)Genre/Form: Electronic books. Additional physical formats: Print version:: Bioinformatics for omics data.DDC classification: 570.285 LOC classification: QH324.2NLM classification: W1 | QU 26.5Online resources: Click here to access online
Contents:
Omics technologies, data and bioinformatics principles / M.V. Schneider and S. Orchard -- Data standards for omics data: The basis of data sharing and reuse / S.A. Chervitz [and others] -- Omics data management and annotation / A. Harel [and others] -- Data and knowledge management in cross-omics research projects / M. Wiesinger [and others] -- Statistical analysis principles for omics data / D. Dunkler, F. Sanchez-Cabo and G. Heinze -- Statistical methods and models for bridging omics data levels / S. Rogers -- Analysis of time course omics datasets / M.G. Grigorov -- The use and abuse of -omes / S.J. Prohaska and P.F. Stadler -- Computational analysis of high throughput sequencing data / S. Hoffmann -- Analysis of single nucleotide polymorphisms in case-control studies / Y. Li, D. Shiffman and R. Oberbauer -- Bioinformatics for copy number variation data / M. Warden [and others] -- Processing chIP-chip data: From the scanner to the browser / P. Cauchy, T. Benoukraf and P. Ferrier -- Insights into global mechanisms and disease by gene expression profiling / F. Sanchez-Cabo [and others] -- Bioinformatics for rnomics / K. Reiche [and others] -- Bioinformatics for qualitative and quantitative proteomics / C. Bielow [and others] -- Bioinformatics for mass spectrometry-based metabolomics / D.P. Enot, B. Haas and K.M. Weinberger -- Computational analysis workflows for omics data interpretation / I. Muhlberger [and others] -- Integration, warehousing, and analysis strategies of omics data / S. Gedela -- Integrating omics data for signaling pathways, interactome reconstruction, and functional analysis / P. Tieri [and others] -- Network inference from time-dependent omics data / P. Lecca [and others] -- Omics and literature mining / V. Kumar -- Omics-bioinformatics in the context of clinical data / G. Mayer [and others] -- Omics-based identification of pathophysiological processes / H. Tanaka and S. Ogishima -- Data mining methods in omics-based biomarker discovery / F. Zhang and J.Y. Chen -- Integrated bioinformatics analysis for cancer target identification / Y. Yang, S.J. Adelstein and A.I. Kassis -- Omics-based molecular target and biomarker identification / Z.Z. Hu [and others].
Summary: 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.
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Includes bibliographical references and index.

Omics technologies, data and bioinformatics principles / M.V. Schneider and S. Orchard -- Data standards for omics data: The basis of data sharing and reuse / S.A. Chervitz [and others] -- Omics data management and annotation / A. Harel [and others] -- Data and knowledge management in cross-omics research projects / M. Wiesinger [and others] -- Statistical analysis principles for omics data / D. Dunkler, F. Sanchez-Cabo and G. Heinze -- Statistical methods and models for bridging omics data levels / S. Rogers -- Analysis of time course omics datasets / M.G. Grigorov -- The use and abuse of -omes / S.J. Prohaska and P.F. Stadler -- Computational analysis of high throughput sequencing data / S. Hoffmann -- Analysis of single nucleotide polymorphisms in case-control studies / Y. Li, D. Shiffman and R. Oberbauer -- Bioinformatics for copy number variation data / M. Warden [and others] -- Processing chIP-chip data: From the scanner to the browser / P. Cauchy, T. Benoukraf and P. Ferrier -- Insights into global mechanisms and disease by gene expression profiling / F. Sanchez-Cabo [and others] -- Bioinformatics for rnomics / K. Reiche [and others] -- Bioinformatics for qualitative and quantitative proteomics / C. Bielow [and others] -- Bioinformatics for mass spectrometry-based metabolomics / D.P. Enot, B. Haas and K.M. Weinberger -- Computational analysis workflows for omics data interpretation / I. Muhlberger [and others] -- Integration, warehousing, and analysis strategies of omics data / S. Gedela -- Integrating omics data for signaling pathways, interactome reconstruction, and functional analysis / P. Tieri [and others] -- Network inference from time-dependent omics data / P. Lecca [and others] -- Omics and literature mining / V. Kumar -- Omics-bioinformatics in the context of clinical data / G. Mayer [and others] -- Omics-based identification of pathophysiological processes / H. Tanaka and S. Ogishima -- Data mining methods in omics-based biomarker discovery / F. Zhang and J.Y. Chen -- Integrated bioinformatics analysis for cancer target identification / Y. Yang, S.J. Adelstein and A.I. Kassis -- Omics-based molecular target and biomarker identification / Z.Z. Hu [and others].

Print version record.

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.

English.

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