TIVAN: Tissue-specific cis-eQTL single nucleotide variant annotation and prediction-Reference-Cited by-同舟云学术

TIVAN: Tissue-specific cis-eQTL single nucleotide variant annotation and prediction

Published:2018-10-10 Issue: Volume: Page:
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Chen Li¹²,Wang Ye²,Yao Bing³,Mitra Amit⁴,Wang Xu⁵,Qin Xiao²

Affiliation:

1. Department of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL

2. Department of Computer Science and Software Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL

3. Department of Human Genetics, Emory University School of Medicine, Atlanta, GA

4. Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL

5. Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/bty872/25993675/bty872.pdf

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model;Bioinformatics;2024-08-28

2. Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations;Nature Communications;2024-07-09

3. In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder;2024-06-29

4. Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning model;2024-03-06

5. TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions;Bioinformatics;2023-01-27