Regulatory Genomic Data Cubism.

作者信息

Fang Hai, Wang Kankan

机构信息

State 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.

State Key Laboratory of Medical Genomics and Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

出版信息

iScience. 2018 May 25;3:217-225. doi: 10.1016/j.isci.2018.04.017. Epub 2018 Apr 26.

DOI:10.1016/j.isci.2018.04.017

PMID:30428322

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6137703/

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.

摘要