| pubmed-article:19344481 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19344481 | lifeskim:mentions | umls-concept:C0017431 | lld:lifeskim |
| pubmed-article:19344481 | lifeskim:mentions | umls-concept:C0017404 | lld:lifeskim |
| pubmed-article:19344481 | lifeskim:mentions | umls-concept:C0752046 | lld:lifeskim |
| pubmed-article:19344481 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:19344481 | lifeskim:mentions | umls-concept:C1292724 | lld:lifeskim |
| pubmed-article:19344481 | pubmed:dateCreated | 2009-4-6 | lld:pubmed |
| pubmed-article:19344481 | pubmed:abstractText | Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population genetics applications. While many of these SNP repositories have implemented data retrieval tools for general-purpose mining, these alone cannot cover the broad spectrum of needs of most medical and population genetics studies. | lld:pubmed |
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| pubmed-article:19344481 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19344481 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19344481 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19344481 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19344481 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:19344481 | pubmed:author | pubmed-author:PhillipsChris... | lld:pubmed |
| pubmed-article:19344481 | pubmed:author | pubmed-author:SalasAntonioA | lld:pubmed |
| pubmed-article:19344481 | pubmed:author | pubmed-author:CarracedoAnge... | lld:pubmed |
| pubmed-article:19344481 | pubmed:author | pubmed-author:AmigoJorgeJ | lld:pubmed |
| pubmed-article:19344481 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19344481 | pubmed:volume | 10 Suppl 3 | lld:pubmed |
| pubmed-article:19344481 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19344481 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19344481 | pubmed:pagination | S5 | lld:pubmed |
| pubmed-article:19344481 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:meshHeading | pubmed-meshheading:19344481... | lld:pubmed |
| pubmed-article:19344481 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19344481 | pubmed:articleTitle | Viability of in-house datamarting approaches for population genetics analysis of SNP genotypes. | lld:pubmed |
| pubmed-article:19344481 | pubmed:affiliation | Spanish National Genotyping Center (CeGen), Genomic Medicine Group, CIBERER, University of Santiago de Compostela, Galicia, Spain. jorge.amigo@usc.es | lld:pubmed |
| pubmed-article:19344481 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19344481 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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