Visualizing Genomic Data Using Gviz and Bioconductor

By F. Hahne, R. Ivanek. Statistical Genomics, 2016

828 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cfd9aabbc4348b03f30578208bba4e6a5861cac1

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In Molecular Biology

1. Clifford A. Meyer
2. Myles A. Brown
3. Bernat Gel
4. Eduard Serra
5. Chenhao Chen
6. Rory Stark

Citations in the corpus

• MIR sequences recruit zinc finger protein ZNF768 to expressed genes (2018, methodology): “Visualization of ZNF768 binding on the genome and corresponding peaks was performed using Gviz (43).”
• karyoploteR: an R/Bioconductor package to plot customizable genomes displaying arbitrary data (2017, methodology): “In addition, the Bioconductor package Gviz (Hahne and Ivanek, 2016) is a powerful tool to create trackbased plots of diverse biological data but it does not produce plots of the whole genome.”
• Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis (2018, background): “The WashU Epigenome Browser view (45,46) (Figure 3C) shows the binding peaks within this enhancer, which can help determine the functional sequence and the factors bound to this sequence.”