Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2002-1-7
pubmed:abstractText
Gene expression profiling is one of the many applications that have benefited from the massively parallel nucleic acid detection capability of DNA microarrays. Current expression arrays, however, are expensive and inflexible. They are custom-designed for each organism and they do not offer the possibility of incorporating updated genomic information without production of a new chip. One possible solution is the development of a universal chip, consisting of all 4n possible DNA sequences of length n. Studying different organisms or new genes would simply require modifications to the hybridization pattern analysis software. The key problem is to find a value of n that is large enough to afford sufficient specificity, yet is small enough for practical fabrication and readout. We developed an analytical model, supported by computer-assisted calculation with yeast and mouse transcript data, to argue that it is both practical and useful to fabricate n-mer arrays with 10 < or = n < or = 16.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10367279, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10385322, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10592250, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10606668, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10634482, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-10666462, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-11283592, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-3380691, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-3459152, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-7765059, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-8418834, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-8602354, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-8643503, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9037016, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9447594, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9634850, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9671717, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9724323, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9809554, http://linkedlifedata.com/resource/pubmed/commentcorrection/11779839-9843569
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1088-9051
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
145-52
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Gene expression analysis with universal n-mer arrays.
pubmed:affiliation
Department of Applied Physics, California Institute of Technology, Pasadena, California 91125, USA.
pubmed:publicationType
Journal Article