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The qBED track: a novel genome browser visualization for point processes
Author(s) -
Arnav Moudgil,
Daofeng Li,
Silas Hsu,
Deepak Purushotham,
Ting Wang,
Robi D. Mitra
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa771
Subject(s) - genome browser , computer science , upload , epigenome , visualization , annotation , world wide web , documentation , source code , information retrieval , genomics , genome , data mining , biology , operating system , genetics , artificial intelligence , gene expression , gene , dna methylation
Transposon calling cards is a genomic assay for identifying transcription factor binding sites in both bulk and single cell experiments. Here, we describe the qBED format, an open, text-based standard for encoding and analyzing calling card data. In parallel, we introduce the qBED track on the WashU Epigenome Browser, a novel visualization that enables researchers to inspect calling card data in their genomic context. Finally, through examples, we demonstrate that qBED files can be used to visualize non-calling card datasets, such as Combined Annotation-Dependent Depletion scores and GWAS/eQTL hits, and thus may have broad utility to the genomics community.

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