Title |
ParentChecker: a computer program for automated inference of missing parental genotype calls and linkage phase correction
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Published in |
BMC Genomic Data, February 2012
|
DOI | 10.1186/1471-2156-13-9 |
Pubmed ID | |
Authors |
Zhiqiu Hu, Jeffrey D Ehlers, Philip A Roberts, Timothy J Close, Mitchell R Lucas, Steve Wanamaker, Shizhong Xu |
Abstract |
Accurate genetic maps are the cornerstones of genetic discovery, but their construction can be hampered by missing parental genotype information. Inference of parental haplotypes and correction of phase errors can be done manually on a one by one basis with the aide of current software tools, but this is tedious and time consuming for the high marker density datasets currently being generated for many crop species. Tools that help automate the process of inferring parental genotypes can greatly speed the process of map building. We developed a software tool that infers and outputs missing parental genotype information based on observed patterns of segregation in mapping populations. When phases are correctly inferred, they can be fed back to the mapping software to quickly improve marker order and placement on genetic maps. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 3% |
United States | 1 | 3% |
Unknown | 35 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 38% |
Researcher | 14 | 38% |
Professor | 2 | 5% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 1 | 3% |
Other | 1 | 3% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 31 | 84% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Mathematics | 1 | 3% |
Unknown | 4 | 11% |