The path to becoming an independent researcher was never easy. I am sincerely grateful to my wife Hayeon, my parents, and all my colleagues and friends for their unwavering support and encouragement along the way.🥹

Finally, after years of hard work, I have officially earned my Ph.D. in Veterinary Medicine.🎓

I will do my best to make meaningful contributions to cancer and aging research, and to grow as a respected PI and leader.🔥

#PhD #VetMed #Graduation #Science

📄 Read the full paper in Bioinformatics :
doi.org/10.1093/bioi...

🔧 GitHub (with step-by-step usage guide):
github.com/snu-cdrc/gen...

It also enables efficient discovery of research-ready NGS datasets and generates integrated metadata for immediate downstream use. No more hunting through multiple portals.

With a few simple commands, Gencube lets users download a wide range of genomics data types and automatically unify their formats — saving time and reducing preprocessing burden.

To address these challenges, we developed Gencube, a command-line tool that allows easy retrieval and integration of genome and omics data from major databases like UCSC GenArk, Ensembl Beta, Zoonomia TOGA, and more.

Data are spread across multiple databases, using different query systems and inconsistent chromosome naming schemes.
As a result, integrating datasets becomes a slow and error-prone process.

With sequencing costs dropping and computational methods advancing, genomic and multi-omics data across species is expanding rapidly.
The opportunities are enormous — but so are the challenges.

Exciting news!
My latest work on enabling efficient use of cross-species multi-omics data — Gencube — is now published in Bioinformatics!🧬💻
A command-line tool designed to simplify complex data retrieval & integration across leading databases.
github.com/snu-cdrc/gen...