bioRxivGenomicsPreprint
The dynseq genome browser track enables visualization of context-specific, dynamic DNA sequence features at single nucleotide resolution
Surag NairiD, Arjun BarrettiD, Daofeng LiiD, Brian J. RaneyiD, Brian T. LeeiD, Peter KerpedjieviD, Vivekanandan RamalingamiD, Anusri PampariiD, Fritz LekschasiD, Ting WangiD, Maximilian HaeussleriD, Anshul Bharat KundajeiD
Abstract
We introduce the dynseq genome browser track, which displays DNA nucleotide characters scaled by user-specified, base-resolution scores provided in the BigWig file format. The dynseq track enables visualization of context-specific, informative genomic sequence features. We demonstrate its utility in three popular genome browsers for interpreting cis-regulatory sequence syntax and regulatory variant interpretation by visualizing nucleotide importance scores derived from machine learning models of regulatory DNA trained on protein-DNA binding and chromatin accessibility experiments.
- assay: DNA methylation
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 0
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