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Novel definition files for human GeneChips based on GeneAnnot

BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probeset/gene assignment in Affymetrix microarray and the existence of differences between annotations and effective alignments of probes and transcription products. In the current generation of Affymetrix...

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Autores principales: Ferrari, Francesco, Bortoluzzi, Stefania, Coppe, Alessandro, Sirota, Alexandra, Safran, Marilyn, Shmoish, Michael, Ferrari, Sergio, Lancet, Doron, Danieli, Gian Antonio, Bicciato, Silvio
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216044/
https://www.ncbi.nlm.nih.gov/pubmed/18005434
http://dx.doi.org/10.1186/1471-2105-8-446
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author Ferrari, Francesco
Bortoluzzi, Stefania
Coppe, Alessandro
Sirota, Alexandra
Safran, Marilyn
Shmoish, Michael
Ferrari, Sergio
Lancet, Doron
Danieli, Gian Antonio
Bicciato, Silvio
author_facet Ferrari, Francesco
Bortoluzzi, Stefania
Coppe, Alessandro
Sirota, Alexandra
Safran, Marilyn
Shmoish, Michael
Ferrari, Sergio
Lancet, Doron
Danieli, Gian Antonio
Bicciato, Silvio
author_sort Ferrari, Francesco
collection PubMed
description BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probeset/gene assignment in Affymetrix microarray and the existence of differences between annotations and effective alignments of probes and transcription products. In the current generation of Affymetrix human GeneChips, most probesets include probes matching transcripts from more than one gene and probes which do not match any transcribed sequence. RESULTS: We developed a novel set of custom Chip Definition Files (CDF) and the corresponding Bioconductor libraries for Affymetrix human GeneChips, based on the information contained in the GeneAnnot database. GeneAnnot-based CDFs are composed of unique custom-probesets, including only probes matching a single gene. CONCLUSION: GeneAnnot-based custom CDFs solve the problem of a reliable reconstruction of expression levels and eliminate the existence of more than one probeset per gene, which often leads to discordant expression signals for the same transcript when gene differential expression is the focus of the analysis. GeneAnnot CDFs are freely distributed and fully compliant with Affymetrix standards and all available software for gene expression analysis. The CDF libraries are available from , along with supplementary information (CDF libraries, installation guidelines and R code, CDF statistics, and analysis results).
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spelling pubmed-22160442008-01-29 Novel definition files for human GeneChips based on GeneAnnot Ferrari, Francesco Bortoluzzi, Stefania Coppe, Alessandro Sirota, Alexandra Safran, Marilyn Shmoish, Michael Ferrari, Sergio Lancet, Doron Danieli, Gian Antonio Bicciato, Silvio BMC Bioinformatics Software BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probeset/gene assignment in Affymetrix microarray and the existence of differences between annotations and effective alignments of probes and transcription products. In the current generation of Affymetrix human GeneChips, most probesets include probes matching transcripts from more than one gene and probes which do not match any transcribed sequence. RESULTS: We developed a novel set of custom Chip Definition Files (CDF) and the corresponding Bioconductor libraries for Affymetrix human GeneChips, based on the information contained in the GeneAnnot database. GeneAnnot-based CDFs are composed of unique custom-probesets, including only probes matching a single gene. CONCLUSION: GeneAnnot-based custom CDFs solve the problem of a reliable reconstruction of expression levels and eliminate the existence of more than one probeset per gene, which often leads to discordant expression signals for the same transcript when gene differential expression is the focus of the analysis. GeneAnnot CDFs are freely distributed and fully compliant with Affymetrix standards and all available software for gene expression analysis. The CDF libraries are available from , along with supplementary information (CDF libraries, installation guidelines and R code, CDF statistics, and analysis results). BioMed Central 2007-11-15 /pmc/articles/PMC2216044/ /pubmed/18005434 http://dx.doi.org/10.1186/1471-2105-8-446 Text en Copyright © 2007 Ferrari et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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.
spellingShingle Software
Ferrari, Francesco
Bortoluzzi, Stefania
Coppe, Alessandro
Sirota, Alexandra
Safran, Marilyn
Shmoish, Michael
Ferrari, Sergio
Lancet, Doron
Danieli, Gian Antonio
Bicciato, Silvio
Novel definition files for human GeneChips based on GeneAnnot
title Novel definition files for human GeneChips based on GeneAnnot
title_full Novel definition files for human GeneChips based on GeneAnnot
title_fullStr Novel definition files for human GeneChips based on GeneAnnot
title_full_unstemmed Novel definition files for human GeneChips based on GeneAnnot
title_short Novel definition files for human GeneChips based on GeneAnnot
title_sort novel definition files for human genechips based on geneannot
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216044/
https://www.ncbi.nlm.nih.gov/pubmed/18005434
http://dx.doi.org/10.1186/1471-2105-8-446
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