Comparison of different approaches for comparative genetic analysis using microarray hybridizations
| العنوان: | Comparison of different approaches for comparative genetic analysis using microarray hybridizations |
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| المؤلفون: | Jerry M. Wells, József Baranyi, Bruce M. Pearson, Carmen Pin, Mark Reuter, Lorna Friis, Karin Overweg |
| المساهمون: | SILS Other Research (FNWI) |
| المصدر: | Applied Microbiology and Biotechnology, 72(4), 852-859 Applied Microbiology and Biotechnology 72 (2006) 4 Applied Microbiology and Biotechnology, 72, 852-859. Springer Verlag |
| بيانات النشر: | Springer Verlag, 2006. |
| سنة النشر: | 2006 |
| مصطلحات موضوعية: | Normalization (statistics), Bioinformatics, Microarrays, Computational biology, Biology, Applied Microbiology and Biotechnology, Genetic analysis, Software, Genetics, Microarray analysis techniques, business.industry, Gene Expression Profiling, Computational Biology, General Medicine, Genomics, Microarray Analysis, Data set, Genomotyping, Data Interpretation, Statistical, Gene chip analysis, Microarray hybridization, DNA microarray, business, Algorithms, Genome, Bacterial, Biotechnology |
| الوصف: | A robust analysis of comparative genomic microarray data is critical for meaningful genomic comparison studies. In this paper, we compare our method (implemented in a new software tool, GENCOM, freely available at http://www.ifr.ac.uk/safety/gencom ) with three commonly used analysis methods: GACK (freely available at http://falkow.stanford.edu ), an empirical cut-off value of twofold difference between the fluorescence intensities after LOWESS normalization or after AVERAGE normalization in which the fluorescence intensity is divided by the average fluorescence intensity of the entire data set. Each method was tested using data sets from real experiments with prior knowledge of conserved and divergent genes. GENCOM and GACK were superior when a high proportion of genes were divergent. GENCOM was the most suitable method for the data set in which the relationship between the fluorescence intensities was not linear. GENCOM has proved robust in an analysis of all the data sets tested. |
| وصف الملف: | application/octet-stream; text/html |
| تدمد: | 1432-0614 0175-7598 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf84b905291f03781d36572a88fd8ef6 https://doi.org/10.1007/s00253-006-0536-x |
| حقوق: | RESTRICTED |
| رقم الأكسشن: | edsair.doi.dedup.....bf84b905291f03781d36572a88fd8ef6 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14320614 01757598 |
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