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.
Competing Interest Statement
A.K. is scientific co-founder of Ravel Biotechnology Inc., is on the scientific advisory board of PatchBio Inc., SerImmune Inc., AINovo Inc., TensorBio Inc. and OpenTargets, is a consultant with Illumina Inc. and owns shares in DeepGenomics Inc., Immuni Inc. and Freenome Inc.
Footnotes
1 typo: SP1 ->; SPI1 Supp Table 1 -> Supplementary Table 1 Minor change to first line of last paragraph: "Genome browsers are an indispensable tool for the analysis of epigenetic data" -> "Genome browsers are an indispensable tool for the analysis of genomic and biochemical profiling experiments"
