Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.
The huge amount of data acquired by high-throughput sequencing requires data reduction for effective analysis. Here we give a clustering algorithm for genome-wide open chromatin data using a new data reduction method. This method regards the genome as a string of 1s and 0s based on a set of peaks an...
Main Authors: | Azusa Tanaka, Yasuhiro Ishitsuka, Hiroki Ohta, Akihiro Fujimoto, Jun-Ichirou Yasunaga, Masao Matsuoka |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-11-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1008422 |
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