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Mendeley readers
Chapter title |
Identification of Copy Number Variants from SNP Arrays Using PennCNV
|
---|---|
Chapter number | 1 |
Book title |
Copy Number Variants
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8666-8_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8665-1, 978-1-4939-8666-8
|
Authors |
Li Fang, Kai Wang, Fang, Li, Wang, Kai |
Abstract |
High-resolution single-nucleotide polymorphism (SNP) genotyping arrays offer a sensitive and affordable method for genome-wide detection of copy number variants (CNVs). PennCNV is a hidden Markov model (HMM)-based CNV caller for SNP arrays, first released 10 years ago. A typical CNV calling procedure using PennCNV includes preparation of input files, CNV calling, filtering CNV calls, CNV annotation, and CNV visualization. Here we describe several protocols for CNV calling using PennCNV, together with descriptions on several recent improvements to the software tool. |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 41% |
Researcher | 4 | 13% |
Student > Master | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 1 | 3% |
Other | 3 | 9% |
Unknown | 7 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 44% |
Medicine and Dentistry | 3 | 9% |
Nursing and Health Professions | 2 | 6% |
Neuroscience | 2 | 6% |
Computer Science | 1 | 3% |
Other | 3 | 9% |
Unknown | 7 | 22% |