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Mendeley readers
| Chapter title |
Split-Read Indel and Structural Variant Calling Using PINDEL
|
|---|---|
| Chapter number | 7 |
| Book title |
Copy Number Variants
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8666-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8665-1, 978-1-4939-8666-8
|
| Authors |
Kai Ye, Li Guo, Xiaofei Yang, Eric-Wubbo Lamijer, Keiran Raine, Zemin Ning, Ye, Kai, Guo, Li, Yang, Xiaofei, Lamijer, Eric-Wubbo, Raine, Keiran, Ning, Zemin |
| Abstract |
Genetic variations are important evolutionary forces in all forms of life in nature. Accurate and efficient detection of various forms of genetic variants is crucial for understanding cell function, evolution and diseases in living organisms. In this chapter, we describe a detailed protocol that uses Pindel, a split-read algorithm, to discover indels and structural variants in a given genome, from Illumina short-read sequencing data produced from biological samples. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 35% |
| Researcher | 2 | 12% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 59% |
| Computer Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |