DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating acce...
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
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Publisher
San Francisco: Public Library of Science
Journal title
Language
English
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Publisher
San Francisco: Public Library of Science
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Scope and Contents
Contents
In recent years, major advances have been made in various chromosome conformation capture technologies to further satisfy the needs of researchers for high-quality, high-resolution contact interactions. Discriminating the loops from genome-wide contact interactions is crucial for dissecting three-dimensional(3D) genome structure and function. Here,...
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Full title
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
Authors, Artists and Contributors
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Record Identifier
TN_cdi_plos_journals_2737143080
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2737143080
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1010572
