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Mendeley readers
| Chapter title |
A Randomized Iterative Approach for SV Discovery with SVelter
|
|---|---|
| Chapter number | 13 |
| Book title |
Copy Number Variants
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8666-8_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8665-1, 978-1-4939-8666-8
|
| Authors |
Xuefang Zhao, Zhao, Xuefang |
| Abstract |
Genomic structural variants (SVs) are major sources of genome diversity, and numerous studies over the past few decades have shown the impact this class of genetic variation has had on human health and disease. In spite of the recent advances in sequencing technology and discovery methodology, there are still considerable amount of variants in the genome that are partially or completely misinterpreted. The computational tool introduced in this chapter, SVelter, is specifically designed to detect and resolve genomic SVs in all different formats, including the canonical as well as the complex. |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 100% |