| Title |
Gene-Based Single Nucleotide Polymorphism Markers for Genetic and Association Mapping in Common Bean
|
|---|---|
| Published in |
BMC Genomic Data, June 2012
|
| DOI | 10.1186/1471-2156-13-48 |
| Pubmed ID | |
| Authors |
Carlos H Galeano, Andrés J Cortés, Andrea C Fernández, Álvaro Soler, Natalia Franco-Herrera, Godwill Makunde, Jos Vanderleyden, Matthew W Blair |
| Abstract |
In common bean, expressed sequence tags (ESTs) are an underestimated source of gene-based markers such as insertion-deletions (Indels) or single-nucleotide polymorphisms (SNPs). However, due to the nature of these conserved sequences, detection of markers is difficult and portrays low levels of polymorphism. Therefore, development of intron-spanning EST-SNP markers can be a valuable resource for genetic experiments such as genetic mapping and association studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 3% |
| Indonesia | 2 | 1% |
| France | 1 | <1% |
| Colombia | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 124 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 23% |
| Researcher | 27 | 20% |
| Student > Ph. D. Student | 26 | 19% |
| Student > Doctoral Student | 10 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 70% |
| Biochemistry, Genetics and Molecular Biology | 11 | 8% |
| Environmental Science | 3 | 2% |
| Computer Science | 2 | 1% |
| Immunology and Microbiology | 2 | 1% |
| Other | 0 | 0% |
| Unknown | 23 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2012.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#138,596
of 177,439 outputs
Outputs of similar age from BMC Genomic Data
#13
of 17 outputs
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