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Bioinformatics for Omics Data

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Cover of 'Bioinformatics for Omics Data'

Table of Contents

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    Book Overview
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    Chapter 1 Omics technologies, data and bioinformatics principles.
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    Chapter 2 Data standards for Omics data: the basis of data sharing and reuse.
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    Chapter 3 Omics data management and annotation.
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    Chapter 4 Data and knowledge management in cross-Omics research projects.
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    Chapter 5 Statistical analysis principles for Omics data.
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    Chapter 6 Statistical methods and models for bridging Omics data levels.
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    Chapter 7 Analysis of time course Omics datasets.
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    Chapter 8 The use and abuse of -omes.
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    Chapter 9 Bioinformatics for Omics Data
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    Chapter 10 Analysis of single nucleotide polymorphisms in case-control studies.
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    Chapter 11 Bioinformatics for Copy Number Variation Data
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    Chapter 12 Processing ChIP-chip data: from the scanner to the browser.
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    Chapter 13 Insights into global mechanisms and disease by gene expression profiling.
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    Chapter 14 Bioinformatics for RNomics.
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    Chapter 15 Bioinformatics for qualitative and quantitative proteomics.
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    Chapter 16 Bioinformatics for mass spectrometry-based metabolomics.
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    Chapter 17 Computational analysis workflows for Omics data interpretation.
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    Chapter 18 Integration, warehousing, and analysis strategies of Omics data.
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    Chapter 19 Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
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    Chapter 20 Network inference from time-dependent Omics data.
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    Chapter 21 Omics and literature mining.
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    Chapter 22 Bioinformatics for Omics Data
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    Chapter 23 Omics-based identification of pathophysiological processes.
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    Chapter 24 Data mining methods in Omics-based biomarker discovery.
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    Chapter 25 Integrated bioinformatics analysis for cancer target identification.
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    Chapter 26 Bioinformatics for Omics Data
Attention for Chapter 1: Omics technologies, data and bioinformatics principles.
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Citations

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Readers on

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223 Mendeley
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6 CiteULike
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Chapter title
Omics technologies, data and bioinformatics principles.
Chapter number 1
Book title
Bioinformatics for Omics Data
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-027-0_1
Pubmed ID
Book ISBNs
978-1-61779-026-3, 978-1-61779-027-0
Authors

Maria V. Schneider, Sandra Orchard, Schneider, Maria V., Orchard, Sandra

Editors

Bernd Mayer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Mexico 2 <1%
Denmark 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 215 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 18%
Researcher 41 18%
Student > Master 26 12%
Student > Bachelor 17 8%
Student > Doctoral Student 11 5%
Other 35 16%
Unknown 52 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 22%
Biochemistry, Genetics and Molecular Biology 46 21%
Medicine and Dentistry 12 5%
Computer Science 11 5%
Environmental Science 8 4%
Other 35 16%
Unknown 63 28%