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Disease Gene Identification

Overview of attention for book
Cover of 'Disease Gene Identification'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of Disease Susceptibility Alleles in the Next Generation Sequencing Era
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    Chapter 2 Induced Pluripotent Stem Cells in Disease Modeling and Gene Identification
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    Chapter 3 Development of Targeted Therapies Based on Gene Modification
  5. Altmetric Badge
    Chapter 4 What Can We Learn About Human Disease from the Nematode C. elegans?
  6. Altmetric Badge
    Chapter 5 Microbiome Sequencing Methods for Studying Human Diseases
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    Chapter 6 The Emerging Role of Long Noncoding RNAs in Human Disease
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    Chapter 7 Identification of Disease-Related Genes Using a Genome-Wide Association Study Approach
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    Chapter 8 Whole Genome Library Construction for Next Generation Sequencing
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    Chapter 9 Whole Exome Library Construction for Next Generation Sequencing
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    Chapter 10 Optimized Methodology for the Generation of RNA-Sequencing Libraries from Low-Input Starting Material: Enabling Analysis of Specialized Cell Types and Clinical Samples
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    Chapter 11 Using Fluidigm C1 to Generate Single-Cell Full-Length cDNA Libraries for mRNA Sequencing
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    Chapter 12 MiSeq: A Next Generation Sequencing Platform for Genomic Analysis
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    Chapter 13 Methods for CpG Methylation Array Profiling Via Bisulfite Conversion
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    Chapter 14 miRNA Quantification Method Using Quantitative Polymerase Chain Reaction in Conjunction with C q Method
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    Chapter 15 Primary Airway Epithelial Cell Gene Editing Using CRISPR-Cas9
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    Chapter 16 RNA Interference to Knock Down Gene Expression
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    Chapter 17 Using Luciferase Reporter Assays to Identify Functional Variants at Disease-Associated Loci
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    Chapter 18 Physiologic Interpretation of GWAS Signals for Type 2 Diabetes
  20. Altmetric Badge
    Chapter 19 Identification of Genes for Hereditary Hemochromatosis
  21. Altmetric Badge
    Chapter 20 Identification of Driver Mutations in Rare Cancers: The Role of SMARCA4 in Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT)
  22. Altmetric Badge
    Chapter 21 The Rise and Fall and Rise of Linkage Analysis as a Technique for Finding and Characterizing Inherited Influences on Disease Expression
Attention for Chapter 9: Whole Exome Library Construction for Next Generation Sequencing
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  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Chapter title
Whole Exome Library Construction for Next Generation Sequencing
Chapter number 9
Book title
Disease Gene Identification
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7471-9_9
Pubmed ID
Book ISBNs
978-1-4939-7470-2, 978-1-4939-7471-9
Authors

Winnie S. Liang, Kristi Stephenson, Jonathan Adkins, Austin Christofferson, Adrienne Helland, Lori Cuyugan, Jonathan J. Keats, Liang, Winnie S., Stephenson, Kristi, Adkins, Jonathan, Christofferson, Austin, Helland, Adrienne, Cuyugan, Lori, Keats, Jonathan J.

Abstract

Whole exome sequencing (WES) is a DNA sequencing strategy that provides a survey of base substitutions across coding genomic locations and other regions of interest. As the coding portion of the genome encompasses only 1-2% of the entire genome, this approach represents a more cost-effective strategy to detect DNA alterations that may alter protein function, compared to whole genome sequencing. Although the research community has and is currently delineating the functional implications of sequence changes in noncoding regions of the genome, WES is a currently available assay that provides valuable information for both discovery research and precision medicine applications. In this chapter, we present a WES library preparation protocol using the KAPA Hyper Prep Kit with Agilent SureSelect Human All Exon V5+UTR probes that demonstrates high DNA-to-library conversion efficiency for sequencing on the Illumina HiSeq platform.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 11%
Student > Ph. D. Student 3 11%
Researcher 2 7%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 16 59%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 2 7%
Immunology and Microbiology 1 4%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 17 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2024.
All research outputs
#7,934,387
of 25,784,004 outputs
Outputs from Methods in molecular biology
#2,403
of 14,353 outputs
Outputs of similar age
#145,358
of 452,185 outputs
Outputs of similar age from Methods in molecular biology
#207
of 1,486 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 14,353 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 452,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.