Please use this identifier to cite or link to this item:
|Title:||Comparison of CpG island distribution in human neuron- and myocyte-specific genes with housekeeping genes using bioinformatics and artificial neural networks|
|Publisher:||2011 7th International Conference on Natural Computation, ICNC 2011|
|Citation:||Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 1 (2011);556-560|
|Abstract:||CpG islands are cluster of CG-rich DNA sequences that associate with the promoter of many human genes. Previous studies based on the original CpG criteria, as being length > 200 bp, %GC ≥ 50%, and ObsCpG/ExpCpG ≥ 0.60, showed that CpG islands overlap the promoter of all human housekeeping genes and over half of all tissue-specific genes. The present study, using the new and widely accepted criteria defined as length > 500 bp, %GC ≥ 55%, and ObsCpG/ExpCpG ≥ 0.65, showed that CpG islands of ∼60% of housekeeping genes overlap the promoter, suggesting that the previous studies might include Alu repeats in the promoter region. Using artificial neural networks, RBF, MLP, PNN, and SVM identified ObsCpG/ExpCpG of the 5′ region-CpG islands and ratio of exonic CpG island number to total CpGs as important variables for classification of myocytes-specificity, with ObsCpG/ExpCpG < 0.65 being specific. For classification of neuron-specificity, the %GC and ObsCpG/ExpCpG of the 5′ region-CpG islands were important variables.|
|Appears in Collections:||Anatomy: International Proceedings|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.