Chapter title |
Whole Genome Library Construction for Next Generation Sequencing
|
---|---|
Chapter number | 8 |
Book title |
Disease Gene Identification
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7471-9_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7470-2, 978-1-4939-7471-9
|
Authors |
Jonathan J. Keats, Lori Cuyugan, Jonathan Adkins, Winnie S. Liang |
Abstract |
With the rapid evolution of genomics technologies over the past decade, whole genome sequencing (WGS) has become an increasingly accessible tool in biomedical research. WGS applications include analysis of genomic DNA from single individuals, multiple related family members, and tumor/normal samples from the same patient in the context of oncology. A number of different modalities are available for performing WGS; this chapter focuses on wet lab library construction procedures for complex short insert WGS libraries using the KAPA Hyper Prep Kit (Kapa Biosystems), and includes a discussion of appropriate quality control measures for sequencing on the Illumina HiSeq2000 platform. Additional modifications to the protocol for long insert WGS library construction, to assess structural alterations and copy number changes, are also described. |
X Demographics
Geographical breakdown
Country | Count | As % |
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India | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Scientists | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 3 | 15% |
Student > Ph. D. Student | 3 | 15% |
Researcher | 2 | 10% |
Student > Master | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 7 | 35% |
Agricultural and Biological Sciences | 2 | 10% |
Economics, Econometrics and Finance | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 40% |