Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Microarray data quality analysis: lessons from the AFGC project
KTH, Superseded Departments, Biotechnology.ORCID iD: 0000-0003-3281-8088
Show others and affiliations
2002 (English)In: Plant Molecular Biology, ISSN 0167-4412, E-ISSN 1573-5028, Vol. 48, no 02-jan, 119-131 p.Article in journal (Refereed) Published
Abstract [en]

Genome-wide expression profiling with DNA microarrays has and will provide a great deal of data to the plant scientific community. However, reliability concerns have required the development data quality tests for common systematic biases. Fortunately, most large-scale systematic biases are detectable and some are correctable by normalization. Technical replication experiments and statistical surveys indicate that these biases vary widely in severity and appearance. As a result, no single normalization or correction method currently available is able to address all the issues. However, careful sequence selection, array design, experimental design and experimental annotation can substantially improve the quality and biological of microarray data. In this review, we discuss these issues with reference to examples from the Arabidopsis Functional Genomics Consortium (AFGC) microarray project.

Place, publisher, year, edition, pages
2002. Vol. 48, no 02-jan, 119-131 p.
Keyword [en]
Arabidopsis, annotation, microarray functional genomics, normalization, differential gene-expression, dna-microarray, sequence tags, arabidopsis, discovery, patterns, hybridization, ontology, arrays
Identifiers
URN: urn:nbn:se:kth:diva-21250ISI: 000173211000008OAI: oai:DiVA.org:kth-21250DiVA: diva2:339948
Note
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Sterky, Fredrik

Search in DiVA

By author/editor
Sterky, Fredrik
By organisation
Biotechnology
In the same journal
Plant Molecular Biology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf