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APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining

Authors :
Atif Shahab
Joanne Chen
Yuriy L. Orlov
Vladimir A. Kuznetsov
Jiangtao Zhou
Source :
Pattern Recognition in Bioinformatics ISBN: 9783540752851, PRIB
Publication Year :
2007
Publisher :
Springer Berlin Heidelberg, 2007.

Abstract

We have developed an online database APMA (Affymetrix Probe Mapping and Annotation) for interactive presentation, search and visualization of Affymetrix target sequences mapping and annotation 〈http://apma.bii.astar. edu.sg〉. APMA contains revised genome localization of the Affymetrix U133 GeneChip initial (target) probe sequences. We designed APMA to use it as a filter before data analysis and data mining so that noise expression signals, false correlations and false gene expression patterns can be reduced. Discrepancies found in probeset annotation and target sequence mapping account for up to 30% of probesets, including about 25% of Affymetrix probesets derived from target sequences overlapped interspersed repeats and 1.8% of original target sequences with erroneous orientation of the sequences. 86% of U133 target sequences passed our quality-control filtering.

Details

ISBN :
978-3-540-75285-1
ISBNs :
9783540752851
Database :
OpenAIRE
Journal :
Pattern Recognition in Bioinformatics ISBN: 9783540752851, PRIB
Accession number :
edsair.doi...........a9654a8aa5d37e8464e92f3d1b2369e8