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Vasyl Zhabotynsky
Vasyl Zhabotynsky
Research Associate, Lineberger Comprehensive Cancer Center
Verified email at unc.edu - Homepage
Title
Cited by
Cited by
Year
The genome architecture of the Collaborative Cross mouse genetic reference population
Collaborative Cross Consortium
Genetics 190 (2), 389-401, 2012
4542012
Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance.
JJ Crowley, V Zhabotynsky, W Sun, S Huang, IK Pakatci, Y Kim, ...
Nature Genetics, 2015
2252015
The association between copy number aberration, DNA methylation and gene expression in tumor samples
W Sun, P Bunn, C Jin, P Little, V Zhabotynsky, CM Perou, DN Hayes, ...
Nucleic acids research 46 (6), 3009-3018, 2018
602018
A Novel Statistical Approach for Jointly Analyzing RNA-Seq Data from F1 Reciprocal Crosses and Inbred Lines
F Zou, W Sun, JJ Crowley, V Zhabotynsky, PF Sullivan, ...
Genetics 197 (1), 389-399, 2014
312014
Transcriptome atlases of mouse brain reveals differential expression across brain regions and genetic backgrounds
W Sun, S Lee, V Zhabotynsky, F Zou, FA Wright, JJ Crowley, Z Yun, ...
G3: Genes| Genomes| Genetics 2 (2), 203-211, 2012
252012
eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects
V Zhabotynsky, L Huang, P Little, YJ Hu, F Pardo-Manuel de Villena, ...
PLoS Genetics 18 (3), e1010076, 2022
152022
IsoDOT Detects Differential RNA-isoform Expression/Usage with respect to a Categorical or Continuous Covariate with High Sensitivity and Specificity
W Sun, Y Liu, JJ Crowley, TH Chen, H Zhou, H Chu, S Huang, PF Kuan, ...
Journal of the American Statistical Association 110 (511), 975-986, 2015
142015
Antipsychotic behavioral phenotypes in the mouse collaborative cross recombinant inbred inter-crosses (RIX)
P Giusti-Rodríguez, JG Xenakis, JJ Crowley, RJ Nonneman, DM DeCristo, ...
G3: Genes, Genomes, Genetics 10 (9), 3165-3177, 2020
62020
A statistical method for joint estimation of cis‐eQTLs and parent‐of‐origin effects under family trio design
V Zhabotynsky, K Inoue, T Magnuson, J Mauro Calabrese, W Sun
Biometrics 75 (3), 864-874, 2019
52019
Bayesian modeling of skewed X inactivation in genetically diverse mice identifies a novel Xce allele associated with copy number changes
KY Sun, D Oreper, SA Schoenrock, R McMullan, P Giusti-Rodríguez, ...
Genetics 218 (1), iyab034, 2021
42021
asSeq: A set of tools for the study of allele-specific RNA-seq data
W Sun, V Zhabotynsky
32013
Cell type-specific Expression Quantitative Trait Loci
P Little, V Zhabotynsky, Y Li, D Lin, W Sun
bioRxiv, 2022.03. 31.486605, 2022
22022
Distribution and vulnerability of transcriptional outputs across the genome in Myc-amplified medulloblastoma cells
R Yang, W Wang, M Dong, K Roso, P Greer, X Bao, CJ Pirozzi, DD Bigner, ...
bioRxiv, 2021.06. 07.447394, 2021
22021
Sexually dimorphic methylation patterns characterize the placenta and blood from extremely preterm newborns
HP Santos Jr, AE Enggasser, J Clark, K Roell, V Zhabotynsky, WA Gower, ...
BMC biology 21 (1), 173, 2023
12023
Bayesian modeling of skewed X inactivation in genetically diverse mice identifies a novel Xce allele associated with copy number changes
KY Sun, D Oreper, SA Schoenrock, R McMullan, P Giusti-Rodríguez, ...
12020
A computational method for cell type-specific expression quantitative trait loci mapping using bulk RNA-seq data
P Little, S Liu, V Zhabotynsky, Y Li, DY Lin, W Sun
Nature Communications 14 (1), 3030, 2023
2023
eQTL mapping using allele-specific gene expression
V Zhabotynsky, L Huang, P Little, YJ Hu, FPM de Villena, F Zou, W Sun
bioRxiv, 2021.07. 03.450987, 2021
2021
Analysis of Genetic, Parent of Origin or Treatment Effect on Gene Expression Using RNA-Seq Data in Human and Mouse
V Zhabotynsky
The University of North Carolina at Chapel Hill, 2020
2020
BIOMETRIC METHODOLOGY
W Zhang, MV Bravington, RM Fewster, Q Mai, X Zhang, A Derkach, ...
Biometrics 75 (3), 2019
2019
Reciprocal Cross in RNA-seq
V Zhabotynsky, W Sun, F Zou
Genetics 197 (1), 389-399, 2016
2016
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