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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 Alternative Splicing of Pre-messenger RNA
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    Chapter 3 Transcriptome Analysis Using RNA-seq and scRNA-seq
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    Chapter 4 Transcriptomics of Neonatal and Infant Human Thymus
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    Chapter 5 Transcriptomics at the Single Cell Level and Human Diseases: Opportunities and Challenges in Data Processing and Analysis
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    Chapter 6 Methods for Gene Co-expression Network Visualization and Analysis
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    Chapter 7 Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data
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    Chapter 8 The Interplay Between the Transcriptomics and Proteomics Profiles
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    Chapter 9 Transcriptome During Normal Cell Differentiation
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    Chapter 10 Transcriptomics to Dissect the Immune System
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    Chapter 11 Transcriptome Profiling in Autoimmune Diseases
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    Chapter 12 Transcriptome Profiling in Experimental Inflammatory Arthritis
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    Chapter 13 Trannscriptomics and Immune Response in Human Cancer
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    Chapter 14 MicroRNAs in Cancer
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    Chapter 15 Oxidative Stress, DNA Damage, and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitus
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    Chapter 16 Large-Scale Gene Expression in Monogenic and Complex Genetic Diseases
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    Chapter 17 Transcriptome in Human Mycoses
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    Chapter 18 Understanding Chagas Disease by Multi-omics Data Integration, Functional, and Enrichment Computational Analysis
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Title
Transcriptomics in Health and Disease
Published by
Springer International Publishing, December 2021
DOI 10.1007/978-3-030-87821-4
ISBNs
978-3-03-087820-7, 978-3-03-087821-4
Editors

Passos, Geraldo A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 15%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 15%
Nursing and Health Professions 1 8%
Psychology 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Other 0 0%
Unknown 7 54%