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Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing

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Cover of 'Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing'

Table of Contents

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    Book Overview
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    Chapter 1 The High-Throughput Sequencing Technologies Triple-W Discussion: Why Use HTS, What Is the Optimal HTS Method to Use, and Which Data Analysis Workflow to Follow
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    Chapter 2 Whole-Genome Sequencing Recommendations
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    Chapter 3 Targeted DNA Region Re-sequencing
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    Chapter 4 Transcriptome Profiling Strategies
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    Chapter 5 Differential mRNA Alternative Splicing
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    Chapter 6 microRNA Discovery and Expression Analysis in Animals
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    Chapter 7 Analysis of Long Noncoding RNAs in RNA-Seq Data
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    Chapter 8 Ribosome Profiling
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    Chapter 9 Genome-Wide Analysis of DNA Methylation Patterns by High-Throughput Sequencing
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    Chapter 10 Characterization of DNA-Protein Interactions: Design and Analysis of ChIP-Seq Experiments
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    Chapter 11 PAR-CLIP: A Genomic Technique to Dissect RNA-Protein Interactions
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    Chapter 12 Metagenomic Design and Sequencing
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    Chapter 13 A Hitchhiker’s Guide to Metatranscriptomics
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    Chapter 14 Eukaryotic Single-Cell mRNA Sequencing
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    Chapter 15 Eukaryotic Single-Cell DNA Sequencing
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    Chapter 16 Submitting Data to a Public Repository, the Final Step of a Successful HTS Experiment
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Citations

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Title
Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-31350-4
ISBNs
978-3-31-931348-1, 978-3-31-931350-4
Editors

Ana M. Aransay, José Luis Lavín Trueba

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
United States 2 <1%
France 1 <1%
Mexico 1 <1%
Australia 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 198 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 26%
Student > Master 41 20%
Researcher 38 18%
Student > Bachelor 13 6%
Student > Doctoral Student 12 6%
Other 31 15%
Unknown 18 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 38%
Biochemistry, Genetics and Molecular Biology 55 27%
Environmental Science 17 8%
Immunology and Microbiology 6 3%
Veterinary Science and Veterinary Medicine 5 2%
Other 23 11%
Unknown 22 11%

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