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The dynseq genome browser track enables visualization of context-specific, dynamic DNA sequence features at single nucleotide resolution

Authors :
Surag Nair
Arjun Barrett
Daofeng Li
Brian J Raney
Brian T Lee
Peter Kerpedjiev
Vivekanandan Ramalingam
Anusri Pampari
Fritz Lekschas
Ting Wang
Maximilian Haeussler
Anshul Kundaje
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........d7b4c3a730ec84d04a16ee2f62c8f175
Full Text :
https://doi.org/10.1101/2022.05.26.493621