Chapter title |
Next-Generation Sequencing and Mutational Analysis: Implications for Genes Encoding LINC Complex Proteins
|
---|---|
Chapter number | 22 |
Book title |
The LINC Complex
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8691-0_22 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8690-3, 978-1-4939-8691-0
|
Authors |
Nagy, Peter L, Worman, Howard J, Peter L. Nagy, Howard J. Worman, Nagy, Peter L., Worman, Howard J. |
Abstract |
Targeted panel, whole exome, or whole genome DNA sequencing using next-generation sequencing (NGS) allows for extensive high-throughput investigation of molecular machines/systems such as the LINC complex. This includes the identification of genetic variants in humans that cause disease, as is the case for some genes encoding LINC complex proteins. The relatively low cost and high speed of the sequencing process results in large datasets at various stages of analysis and interpretation. For those not intimately familiar with the process, interpretation of the data might prove challenging. This review lays out the most important and most commonly used materials and methods of NGS. It also discusses data analysis and potential pitfalls one might encounter because of peculiarities of the laboratory methodology or data analysis pipelines. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
France | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 20% |
Other | 2 | 13% |
Student > Doctoral Student | 2 | 13% |
Student > Bachelor | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 40% |
Unspecified | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 33% |