AIMC Topic: Epigenomics

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Denoising genome-wide histone ChIP-seq with convolutional neural networks.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to obtain genome-wide profiles of histone modifications associated with different types of functional genomic elements. However, the quality of histone ChI...
Humans Neural Networks, Computer Software Animals Mice Epigenomics Sequence Analysis, DNA Cell Line High-Throughput Nucleotide Sequencing Chromatin Immunoprecipitation Histone Code
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Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.

Molecular bioSystems Oct 18, 2016
RNA 5-methylcytosine (mC) plays an important role in numerous biological processes. Accurate identification of the mC site is helpful for a better understanding of its biological functions. However, the drawbacks of the experimental methods available...
Humans Algorithms Reproducibility of Results Computational Biology Epigenomics Support Vector Machine RNA Methylation Nucleic Acid Conformation 5-Methylcytosine
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Higher order methylation features for clustering and prediction in epigenomic studies.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average DNA methylation to gene expression yield poor correlations outside of the well-under...
Machine Learning Forecasting Epigenomics DNA Methylation Gene Expression CpG Islands Promoter Regions, Genetic Genome
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