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Mendeley readers
Chapter title |
Haplotype Inference
|
---|---|
Chapter number | 23 |
Book title |
Statistical Human Genetics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7274-6_23 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7273-9, 978-1-4939-7274-6
|
Authors |
Sunah Song, Xin Li, Jing Li |
Abstract |
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms. In this chapter, we introduce four representative methods to reconstruct haplotypes from unphased genotype data, two of them are for unrelated individuals and the other two are for families. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 5% |
Brazil | 1 | 5% |
Unknown | 17 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 26% |
Student > Bachelor | 4 | 21% |
Student > Ph. D. Student | 4 | 21% |
Student > Master | 2 | 11% |
Professor | 1 | 5% |
Other | 2 | 11% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 26% |
Computer Science | 3 | 16% |
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Mathematics | 2 | 11% |
Nursing and Health Professions | 1 | 5% |
Other | 2 | 11% |
Unknown | 4 | 21% |