HiChIP-Peaks: a HiChIP peak calling algorithm
Author(s) -
Chenfu Shi,
Magnus Rattray,
Gisela Orozco
Publication year - 2020
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa202
Subject(s) - computer science , exploit , data mining , identification (biology) , reliability (semiconductor) , representation (politics) , algorithm , false discovery rate , loop (graph theory) , software , biology , mathematics , power (physics) , biochemistry , botany , physics , computer security , quantum mechanics , combinatorics , politics , political science , gene , law , programming language
HiChIP is a powerful tool to interrogate 3D chromatin organization. Current tools to analyse chromatin looping mechanisms using HiChIP data require the identification of loop anchors to work properly. However, current approaches to discover these anchors from HiChIP data are not satisfactory, having either a very high false discovery rate or strong dependence on sequencing depth. Moreover, these tools do not allow quantitative comparison of peaks across different samples, failing to fully exploit the information available from HiChIP datasets.
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