Bioinformatics for Omics Data

Methods and Protocols

Häftad, Engelska, 2016

2 159 kr

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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.

Produktinformation

Utgivningsdatum2016-08-23
Mått178 x 254 x 32 mm
Vikt1 105 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor584
FörlagHumana Press Inc.
ISBN9781493957804

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik

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.