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231225s2020 xx |||||o 00| ||eng c |
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|a 10.2144/btn-2019-0165
|2 doi
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|a eng
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|a Lyu, Hongqiang
|e verfasserin
|4 aut
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|a TADBD
|b a sensitive and fast method for detection of typologically associated domain boundaries
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a Date Completed 02.06.2021
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|a Date Revised 02.06.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a A topologically associated domain (TAD) is a self-interacting genomic block. Detection of TAD boundaries on Hi-C contact matrix is one of the most important issues in the analysis of 3D genome architecture at TAD level. Here, we present TAD boundary detection (TADBD), a sensitive and fast computational method for detection of TAD boundaries on Hi-C contact matrix. This method implements a Haar-based algorithm by considering Haar diagonal template, acceleration via a compact integrogram, multi-scale aggregation at template size and statistical filtering. In most cases, comparison results from simulated and experimental data show that TADBD outperforms the other five methods. In addition, a new R package for TADBD is freely available online
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Hi-C
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|a haar-based algorithm
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|a topologically associated boundary detection
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|a Chromatin
|2 NLM
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1 |
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|a Li, Lin
|e verfasserin
|4 aut
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1 |
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|a Wu, Zhifang
|e verfasserin
|4 aut
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|a Wang, Tian
|e verfasserin
|4 aut
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|a Zheng, Jiguang
|e verfasserin
|4 aut
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1 |
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|a Wang, Hongda
|e verfasserin
|4 aut
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|i Enthalten in
|t BioTechniques
|d 1993
|g 69(2020), 1 vom: 01. Juli, Seite 376-383
|w (DE-627)NLM012627046
|x 1940-9818
|7 nnas
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|g volume:69
|g year:2020
|g number:1
|g day:01
|g month:07
|g pages:376-383
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|u http://dx.doi.org/10.2144/btn-2019-0165
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