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Transcriptomics in Health and Disease

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Cover of 'Transcriptomics in Health and Disease'

Table of Contents

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    Book Overview
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    Chapter 1 What Is the Transcriptome and How it is Evaluated?
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    Chapter 2 Transcriptome Analysis Throughout RNA-seq
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    Chapter 3 Identification of Biomarkers and Expression Signatures
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    Chapter 4 Methods for Gene Coexpression Network Visualization and Analysis
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    Chapter 5 Posttranscriptional Control During Stem Cells Differentiation
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    Chapter 6 Transcriptome Analysis During Normal Human Mesenchymal Stem Cell Differentiation
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    Chapter 7 Thymus Gene Coexpression Networks: A Comparative Study in Children with and Without Down Syndrome
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    Chapter 8 Transcriptome Profiling in Autoimmune Diseases
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    Chapter 9 Expression of DNA Repair and Response to Oxidative Stress Genes in Diabetes Mellitus
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    Chapter 10 MicroRNAs in Cancer
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    Chapter 11 Transcriptome Profiling in Chronic Inflammatory Diseases of the Musculoskeletal System
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    Chapter 12 Transcriptome Profiling in Experimental Inflammatory Arthritis
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    Chapter 13 Transcriptome in Human Mycoses
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    Chapter 14 Transcriptomics of the Host–Pathogen Interaction in Paracoccidioidomycosis
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    Chapter 15 Dissecting Tuberculosis Through Transcriptomic Studies
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    Chapter 16 Understanding Chagas Disease by Genome and Transcriptome Exploration
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    Chapter 17 Expression Tests in Actual Clinical Practice: How Medically Useful is the Transcriptome?
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Title
Transcriptomics in Health and Disease
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-11985-4
ISBNs
978-3-31-911984-7, 978-3-31-911985-4, 978-3-31-935014-1
Editors

Geraldo A. Passos

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Researcher 9 16%
Student > Ph. D. Student 9 16%
Student > Bachelor 7 13%
Student > Doctoral Student 2 4%
Other 8 15%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 24%
Biochemistry, Genetics and Molecular Biology 11 20%
Immunology and Microbiology 5 9%
Medicine and Dentistry 5 9%
Computer Science 2 4%
Other 6 11%
Unknown 13 24%