Title |
Saturated linkage map construction in Rubus idaeususing genotyping by sequencing and genome-independent imputation
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Published in |
BMC Genomics, January 2013
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DOI | 10.1186/1471-2164-14-2 |
Pubmed ID | |
Authors |
Judson A Ward, Jasbir Bhangoo, Felicidad Fernández-Fernández, Patrick Moore, JD Swanson, Roberto Viola, Riccardo Velasco, Nahla Bassil, Courtney A Weber, Daniel J Sargent |
Abstract |
Rapid development of highly saturated genetic maps aids molecular breeding, which can accelerate gain per breeding cycle in woody perennial plants such as Rubus idaeus (red raspberry). Recently, robust genotyping methods based on high-throughput sequencing were developed, which provide high marker density, but result in some genotype errors and a large number of missing genotype values. Imputation can reduce the number of missing values and can correct genotyping errors, but current methods of imputation require a reference genome and thus are not an option for most species. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 33% |
Chile | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 3% |
Brazil | 3 | 1% |
Italy | 2 | <1% |
Germany | 1 | <1% |
Ireland | 1 | <1% |
Norway | 1 | <1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
France | 1 | <1% |
Other | 2 | <1% |
Unknown | 219 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 64 | 27% |
Researcher | 59 | 25% |
Student > Master | 30 | 13% |
Student > Doctoral Student | 15 | 6% |
Student > Postgraduate | 11 | 5% |
Other | 29 | 12% |
Unknown | 30 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 164 | 69% |
Biochemistry, Genetics and Molecular Biology | 21 | 9% |
Environmental Science | 3 | 1% |
Computer Science | 3 | 1% |
Medicine and Dentistry | 3 | 1% |
Other | 8 | 3% |
Unknown | 36 | 15% |