TY  - JOUR 
AU  - Previti, Christopher
AU  - Harari, Oscar
AU  - Zwir Nawrocki, Jorge Sergio Igor
AU  - Val Muñoz, María Coral Del
PY  - 2009
SN  - 1471-2105
UR  - http://hdl.handle.net/10481/28448
AB  - Background

The computational prediction of DNA methylation has become an important topic in the recent years due to its role in the epigenetic control of normal and cancer-related processes. While previous prediction approaches focused merely on...
AB  - Results

We defined CGI methylation profiles that separate not only between constitutively methylated and unmethylated CGIs, but also identify CGIs showing a differential degree of methylation across tissues and cell-types or a lack of methylation...
AB  - Conclusion

Our approach provides new insights into the biological features that determine if a CGI has a functional role in the epigenetic control of gene expression and the features associated with CGI methylation susceptibility. Moreover, we show...
LA  - eng
PB  - Biomed Central
KW  - Computational biology
KW  - CpG islands
KW  - DNA methylation
KW  - Databases
KW  - Epigenesis
KW  - Genome
TI  - Profile analysis and prediction of tissue-specific CpG island methylation classes
DO  - 10.1186/1471-2105-10-116
ER  -