cv
Basics
| Name | Woo Seok Jung |
| Label | PhD Candidate |
| [email protected] | |
| Phone | (562) 760-8825 |
| Url | https://jungwooseok.com |
| Summary | A Korean-born American PhD candidate in the Brent lab at WashU |
Education
Publications
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2025.02.02 FISHNET: A Network-based Tool for Analyzing Gene-level P-values to Identify Significant Genes Missed by Standard Methods
bioRxiv
FISHNET uses prior biological knowledge, represented as gene interaction networks and gene function annotations, to identify genes that do not meet the genome-wide significance threshold but replicate nonetheless
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2024.09.14 A methodology for gene level omics-WAS integration identifies genes influencing traits associated with cardiovascular risks: the Long Life Family Study
Human Genetics
Multi-omic integration of GWAS, RVA (rare variant analysis), and gene-trait associations to identify genetic mechanisms that affect cardiovascular health risks in the Long Life Family Study (LLFS). I wrote the nf-core Nextflow pipeline https://nf-co.re/omicsgenetraitassociation.
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2022.06 Predicting which genes will respond to transcription factor perturbations
G3 Genes|Genomes|Genetics
Prediction of gene response to transcription factor perturbations modeling TF perturbation experiments using TF ChIP-seq data and epigenetic signals using XGBoost.
Projects
- 2025 - Present
FISHNET
This software pipelines the Nextflow, R, and python code for FISHNET, available for HPC systems using Docker or Singularity containers.
- 2024 - Present
nf-core/omicsgenetraitassociation
An open-source Nextflow pipeline for the multi-omic integration of GWAS, TWAS, and RVA available on nf-core.
- 2023 - Present
corrmeta
This R package implements correlated meta-analysis, a method which accounts for correlated samples in meta-analyses. Available on CRAN.
Awards
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Genome Analysis Traning Progarm (GATP)
National Human Genome Research Institute (NHGRI)
The NHGRI T32 grant, also known as a Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grant, supports predoctoral trainees to strenghten their research experiences in genomics.
- 2018.2019
- 2016.2020
Skills
| Languages | |
| Python | |
| R | |
| Java | |
| Shell | |
| C | |
| MATLAB |
| Frameworks and Libraries | |
| Nextflow | |
| Keras | |
| AWS | |
| Docker | |
| Singularity | |
| Confluence |
| Other skills | |
| Computational biology | |
| Statistical modeling | |
| Multi-omics integration | |
| High-throughput sequencing (NGS) | |
| HPC (SLURM,Grid Engine) |
Languages
| English | |
| Native speaker |
| Korean | |
| Fluent |