Journal article
Regulatory genomic data cubism
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.9MB, Terms of use)
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- Publisher copy:
- 10.1016/j.isci.2018.04.017
Authors
+ National Key Research and Development Program of China
More from this funder
- Grant:
- 2016YFC0902800
- Publisher:
- Elsevier
- Journal:
- iScience More from this journal
- Volume:
- 3
- Pages:
- 217-225
- Publication date:
- 2018-04-26
- Acceptance date:
- 2018-04-20
- DOI:
- EISSN:
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2589-0042
- ISSN:
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2589-0042
- Pmid:
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30428322
- Language:
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English
- Keywords:
- Pubs id:
-
pubs:946297
- UUID:
-
uuid:f918a70b-9d9c-422a-a710-a690efc4314a
- Local pid:
-
pubs:946297
- Deposit date:
-
2018-12-06
- ARK identifier:
Terms of use
- Copyright holder:
- Fang and Wang
- Copyright date:
- 2018
- Notes:
- © 2018 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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