A statistical approach for identifying single nucleotide variants that affect transcription factor binding-Reference-Cited by-同舟云学术

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A statistical approach for identifying single nucleotide variants that affect transcription factor binding

Published:2024-05 Issue:5 Volume:27 Page:109765
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Baumgarten Nina^ORCID,Rumpf Laura,Kessler Thorsten,Schulz Marcel H.

Funder

DFG

CPI

DZHK

Publisher

Elsevier BV

Reference59 articles.

1. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants;Aragam;Nat. Genet.,2022

2. Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes;Ma;Commun. Biol.,2023

3. Non-coding genetic variants in human disease: Figure 1;Zhang;Hum. Mol. Genet.,2015

4. A method to predict the impact of regulatory variants from DNA sequence;Lee;Nat. Genet.,2015

5. Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks;Kelley;Genome Res.,2016

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