Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
15
pubmed:dateCreated
2007-9-3
pubmed:abstractText
A generic DNA microarray design applicable to any species would greatly benefit comparative genomics. We have addressed the feasibility of such a design by leveraging the great feature densities and relatively unbiased nature of genomic tiling microarrays. Specifically, we first divided each Homo sapiens Refseq-derived gene's spliced nucleotide sequence into all of its possible contiguous 25 nt subsequences. For each of these 25 nt subsequences, we searched a recent human transcript mapping experiment's probe design for the 25 nt probe sequence having the fewest mismatches with the subsequence, but that did not match the subsequence exactly. Signal intensities measured with each gene's nearest-neighbor features were subsequently averaged to predict their gene expression levels in each of the experiment's thirty-three hybridizations. We examined the fidelity of this approach in terms of both sensitivity and specificity for detecting actively transcribed genes, for transcriptional consistency between exons of the same gene, and for reproducibility between tiling array designs. Taken together, our results provide proof-of-principle for probing nucleic acid targets with off-target, nearest-neighbor features.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-11071945, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-11101804, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-11779839, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-11932250, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-11988577, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-12538238, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-12855476, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-14551912, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15024387, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15496912, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15539566, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15790807, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15845769, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15867429, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-15871745, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-16108723, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-16141373, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-16286648, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-16677401, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-16921347, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-17571346, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-2737674, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-8197176, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-8503011, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-8643503, http://linkedlifedata.com/resource/pubmed/commentcorrection/17686789-9447594
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
35
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e99
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Toward a universal microarray: prediction of gene expression through nearest-neighbor probe sequence identification.
pubmed:affiliation
Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, USA.
pubmed:publicationType
Journal Article, Evaluation Studies, Research Support, N.I.H., Extramural