Enhancer Prediction in Proboscis Monkey Genome : A Comparative Study

Norshafarina, Omar and Lee, Nung Kion and Yu, Shiong Wong and Xi, Li and Chong, Yee Ling and Mohd Tajuddin, Abdullah (2017) Enhancer Prediction in Proboscis Monkey Genome : A Comparative Study. In: The 10th International Conference on Information Technology in Asia (CITA'2017), 23rd – 24th May 2017, Hilton Hotel Kuching, Sarawak.

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Abstract

Genome annotation is an essential task for understanding and analyzing the whole genome and its function. We have sequenced the complete proboscis Monkey (Nasalis larvatus) genome due to its important for medical and evolutionary studies. We have performed an initial annotation of the genes genome using the MAKER gene annotation pipeline. 3084 genes were predicted from chromosome 18 of the genome using six eukaryotic model species. Intergenic regions possibly enriched with enhancers are then predicted using five different tools: DeepBind, LS-GKM, GMFR-CNN, CSI-ANN and iEnhancer-2L. These tools find the enhancers of the complex intergenic regions based on epigenetic features, in which intergenic regions are seen as a potential region for enhancers with a certain epigenetic features bound to it. Empirical results demonstrate competitive performance using different prediction tools with multiple epigenetic features to predict the enhancers for chromosome 18 in proboscis monkey. Based on the finding of this study, predicted enhancers can be used for the purpose of scientific and genomic discoveries.

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