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Regulatory Genomic Data Cubism
1State Key Laboratory of Medical Genomics and Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Abstract:
A regularly shaped grid is useful for analyzing data particularly at multilayer levels, where patterns can be visually represented and analytically compared-conceptually similar to Picasso's cubism. Here we introduce ATLAS, featuring a suite of spatially ordered maps designed for representation and comparison of patterns seen in regulatory genomic data. It produces a landscape learned from input data and enables landscape-guided correlation with additional data. We illustrate its use for multilayer data comparison on the same cell type, and for comparisons involving different cell types, revealing information in a scientifically insightful and also visually intuitive way. The data-driven and visual-aided ability of ATLAS presents a general strategy for regulatory genomic data analysis.
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