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Mendeley readers
| Chapter title |
Statistical Detection of Genome Differences Based on CNV Segments
|
|---|---|
| Chapter number | 3 |
| Book title |
Copy Number Variants
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8666-8_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8665-1, 978-1-4939-8666-8
|
| Authors |
Yang Zhou, Derek M. Bickhart, George E. Liu, Zhou, Yang, Bickhart, Derek M., Liu, George E. |
| Abstract |
Population analysis using copy number variation (CNV) is far more complex than analysis using SNPs because of the diverse copy number and inconsistent boundaries of CNVs in different individuals that causes changes in frequency. Multiple studies have reported CNV regions associated with diseases or body traits based on a CNV segmentation strategy that condenses calls from multiple different sources into a genotype state. Here, we provide a guideline of how to generate CNV segments from known CNV results, and how to detect genome differences based on CNV segments. |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 50% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Unknown | 2 | 50% |