Published in Front Genet on March 05, 2015
Integrating Epigenomics into the Understanding of Biomedical Insight. Bioinform Biol Insights (2016) 0.75
Methods of integrating data to uncover genotype-phenotype interactions. Nat Rev Genet (2015) 2.66
Mapping human epigenomes. Cell (2013) 2.44
Computational epigenetics. Bioinformatics (2007) 1.92
De novo identification of differentially methylated regions in the human genome. Epigenetics Chromatin (2015) 1.16
Statistical methods for detecting differentially methylated loci and regions. Front Genet (2014) 1.06
Methylated DNA is over-represented in whole-genome bisulfite sequencing data. Front Genet (2014) 0.94
M3D: a kernel-based test for spatially correlated changes in methylation profiles. Bioinformatics (2014) 0.83
A comparison of control samples for ChIP-seq of histone modifications. Front Genet (2014) 0.83
Interplay of microRNA and epigenetic regulation in the human regulatory network. Front Genet (2014) 0.82
Comparative evaluation of DNase-seq footprint identification strategies. Front Genet (2014) 0.81
Computational and experimental methods to decipher the epigenetic code. Front Genet (2014) 0.81
Mining for viral fragments in methylation enriched sequencing data. Front Genet (2015) 0.81
Quantifying the impact of inter-site heterogeneity on the distribution of ChIP-seq data. Front Genet (2014) 0.80
DaVIE: Database for the Visualization and Integration of Epigenetic data. Front Genet (2014) 0.79
Statistical methods for detecting differentially methylated loci and regions. Front Genet (2014) 1.06