Source:http://linkedlifedata.com/resource/pubmed/id/15975223
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
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| pubmed:dateCreated |
2005-6-24
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| pubmed:abstractText |
Gene expression can be studied at a genome-wide scale with the aid of modern microarray technologies. Expression profiling of tens to hundreds of individuals in a genetic population can reveal the consequences of genetic variation. In this paper it is argued that the design and analysis of such a study is not a matter of simply applying the existing and more-or-less standard computational tools for microarrays to a new type of experimental data. It is shown how to fully exploit the power of genetics through optimal experimental design and analysis for two major microarray technologies, cDNA two-colour arrays and Affymetrix short oligonucleotide arrays.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Jun
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| pubmed:issn |
1467-5463
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| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
6
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
135-45
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| pubmed:meshHeading |
pubmed-meshheading:15975223-Chromosome Mapping,
pubmed-meshheading:15975223-Computer Simulation,
pubmed-meshheading:15975223-Gene Expression Profiling,
pubmed-meshheading:15975223-Genomics,
pubmed-meshheading:15975223-Models, Genetic,
pubmed-meshheading:15975223-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:15975223-Quantitative Trait Loci
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| pubmed:year |
2005
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| pubmed:articleTitle |
Combining microarrays and genetic analysis.
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| pubmed:affiliation |
Groningen Bioinformatics Centre, University of Groningen, Kerklaan 30, 9751 NN, Haren, the Netherlands.
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| pubmed:publicationType |
Journal Article
|