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dc.contributor.authorVainshtein, Yevhen
dc.contributor.authorSanchez, Mayka
dc.contributor.authorBrazma, Alvis
dc.contributor.authorW. Hentze, Matthias
dc.contributor.authorDandekar, Thomas
dc.contributor.authorMuckenthaler, Martina U.
dc.date.accessioned2022-01-18T17:00:48Z
dc.date.available2022-01-18T17:00:48Z
dc.date.issued2010
dc.identifier.citationVainshtein, Yevhen; Sanchez, Mayka; Brazma, Alvis [et al.]. The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays. BMC Bioinformatics, 2010, 11, 112. Disponible en: <https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-112>. Fecha de acceso: 18 ene. 2022. DOI: 10.1186/1471-2105-11-112ca
dc.identifier.issn1471-2105ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/3077
dc.description.abstractBackground: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, production and manipulations are limiting factors, affecting data quality. The use of customized DNA microarrays improves overall data quality in many situations, however, only if for these specifically designed microarrays analysis tools are available. Results: The IronChip Evaluation Package (ICEP) is a collection of Perl utilities and an easy to use data evaluation pipeline for the analysis of microarray data with a focus on data quality of custom-designed microarrays. The package has been developed for the statistical and bioinformatical analysis of the custom cDNA microarray IronChip but can be easily adapted for other cDNA or oligonucleotide-based designed microarray platforms. ICEP uses decision tree-based algorithms to assign quality flags and performs robust analysis based on chip design properties regarding multiple repetitions, ratio cut-off, background and negative controls. Conclusions: ICEP is a stand-alone Windows application to obtain optimal data quality from custom-designed microarrays and is freely available here (see "Additional Files" section) and at: http://www.alice-dsl.net/evgeniy.vainshtein/ICEP/en
dc.format.extent7ca
dc.language.isoengca
dc.publisherSpringer Natureca
dc.relation.ispartofBMC Bioinformaticsca
dc.relation.ispartofseries11;
dc.rightsThis article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by/2.0
dc.subject.otherEstudis d'expressió gènicaca
dc.subject.otherADNca
dc.subject.otherGenomaca
dc.subject.otherMicroarrays d'ADNca
dc.subject.otherEstudios de expresión génicaes
dc.subject.otherADNes
dc.subject.otherGenomaes
dc.subject.otherMicroarrays de ADNes
dc.subject.otherGene expression studiesen
dc.subject.otherDNAen
dc.subject.otherGenomeen
dc.subject.otherDNA microarraysen
dc.titleThe IronChip evaluation package: a package of perl modules for robust analysis of custom microarraysen
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc57ca
dc.identifier.doihttps://dx.doi.org/10.1186/1471-2105-11-112ca


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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/2.0
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