Linked Life Data

16030321

Source:http://linkedlifedata.com/resource/pubmed/id/16030321

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2005-7-20
pubmed:abstractText
Improvements in the quality of gene expression data were investigated based on a database consisting of 5168 oligonucleotide microarrays collected over 3 years. The database includes diverse treatments of human and mouse samples collected from multiple laboratories. The array designs and algorithms used to capture the data have also changed over the 3 years of data collection. All hybridizations and labeling were conducted in the Hartwell Center for Bioinformatics and Biotechnology at St. Jude's Children's Research Hospital. Quality metrics for each human and mouse array were collected and analyzed. Statistical tests, such as ANOVA and linear regression, were applied to test for the effects of array design, algorithm, and time. The quality metrics tested were average background, actin 3'/5' ratio, Bio B signal, percent present, and scale factor. ANOVA results indicate that both recent algorithms and chip designs significantly correlate with improvements in Bio B, scale factor, percent present, and average background. Significant quality improvements correlated with new chip designs, algorithms, and their interaction. In addition, within one chip type analyzed by the same algorithm significant improving trends were still observed. Scale factor, percent present, and average background significantly improved over time for U133A arrays analyzed by the Affymetrix MicroArray Suite 5.0 algorithm according to linear regression. Proportionally fewer outlier arrays (those with less than 25% present calls) were seen over time. Also, high throughput periods did not increase the proportion of outliers, indicating that laboratory monitoring of quality is successfully preventing failures.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-11389458, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-11747616, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-11842121, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-11860205, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12019778, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12217912, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12359098, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12454644, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12519956, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12538239, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-12794640, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-14500916, http://linkedlifedata.com/resource/pubmed/commentcorrection/16030321-14632079
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1524-0215
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
143-53
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Trends in the quality of data from 5168 oligonucleotide microarrays from a single facility.
pubmed:affiliation
Hartwell Center for Bioinformatics and Biotechnology, St. Jude Children's Research Hospital, 332 N. Lauderdale ST. Mail stop 312 Memphis, TN 38105, USA. david.finkelstein@stjude.org
pubmed:publicationType
Journal Article