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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
15
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pubmed:dateCreated |
2007-8-16
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pubmed:abstractText |
Single nucleic polymorphisms (SNPs) are one of the most abundant genetic variations in the human genome. Recently, several platforms for high-throughput SNP analysis have become available, capable of measuring thousands of SNPs across the genome. Tools for analysing and visualizing these large genetic data sets in biologically relevant manner are rare. This hinders effective use of the SNP-array data in research on complex diseases, such as cancer.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Aug
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pubmed:issn |
1367-4811
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:day |
1
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pubmed:volume |
23
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1952-61
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pubmed:dateRevised |
2009-11-4
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pubmed:meshHeading |
pubmed-meshheading:17510170-Chromosome Mapping,
pubmed-meshheading:17510170-Colorectal Neoplasms,
pubmed-meshheading:17510170-DNA Mutational Analysis,
pubmed-meshheading:17510170-Genes, Recessive,
pubmed-meshheading:17510170-Genetic Predisposition to Disease,
pubmed-meshheading:17510170-Genetic Variation,
pubmed-meshheading:17510170-Humans,
pubmed-meshheading:17510170-Mutation,
pubmed-meshheading:17510170-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:17510170-Polymorphism, Single Nucleotide,
pubmed-meshheading:17510170-Quantitative Trait Loci,
pubmed-meshheading:17510170-User-Computer Interface
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pubmed:year |
2007
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pubmed:articleTitle |
Computational identification of candidate loci for recessively inherited mutation using high-throughput SNP arrays.
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pubmed:affiliation |
Computational Systems Biology Laboratory, Institute of Biomedicine, University of Helsinki, Finland.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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