Skip to main content

Yeongjae Choi

Korea Advanced Institute of Science and Technology · 生化学・遺伝学・分子生物学

研究室紹介

Professor Yeongjae Choi's research lab specializes in high-performance computing and bioinformatics, focusing on optimizing data management for scientific workloads and advancing structural biology through computational methods. The lab develops innovative algorithms and web-based resources for declustering multidimensional datasets in parallel databases, improving I/O efficiency in high-performance computing environments. It also creates tools like PSIMAP and SNP@Domain to map protein interactions and annotate disease-associated genetic variations within protein domains, integrating structural and sequence-based domain information for biological insight. The lab bridges computer science and life sciences by designing scalable, visualization-driven solutions for complex biological and computational data.

high-performance computingprotein interaction mappingSNP annotationdeclustering algorithmsparallel I/O optimization

Research Overview

Papers
4
Total Citations
135
Papers (5y)
4
Primary Field
生化学・遺伝学・分子生物学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
4total
2002
2003
2005
2006
Citations per year (5y)
135total
2002200320052006

Selected Papers

4
1
Article|91 citations·2005
PSIbase: a database of Protein Structural Interactome map (PSIMAP)
Sungsam Gong, Giwan Yoon, In Sock Jang, Dan Bolser, P. Dafas, Michael Schroeder, Ho‐Jin Choi, Y. Cho, Kyungdo Han, Sunghoon Lee, Ho‐Jin Choi, Michael Lappé
Computer applications in the biosciencesOA

UNLABELLED: Protein Structural Interactome map (PSIMAP) is a global interaction map that describes domain-domain and protein-protein interaction information for known Protein Data Bank structures. It calculates the Euclidean distance to determine interactions between possible pairs of structural domains in proteins. PSIbase is a database and file server for protein structural interaction information calculated by the PSIMAP algorithm. PSIbase also provides an easy-to-use protein domain assignmen

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
Article|26 citations·2006
SNP@Domain: a web resource of single nucleotide polymorphisms (SNPs) within protein domain structures and sequences
Anjia Han, Hyo Jin Kang, Y. Cho, Sanghyeob Lee, Young‐Joo Kim, Sungsam Gong
SJR Q1Nucleic Acids ResearchOA

The single nucleotide polymorphisms (SNPs) in conserved protein regions have been thought to be strong candidates that alter protein functions. Thus, we have developed SNP@Domain, a web resource, to identify SNPs within human protein domains. We annotated SNPs from dbSNP with protein structure-based as well as sequence-based domains: (i) structure-based using SCOP and (ii) sequence-based using Pfam to avoid conflicts from two domain assignment methodologies. Users can investigate SNPs within pro

Molecular BiologyBiochemistry, Genetics and Molecular Biology
3
Article|15 citations·2003
New GDM-based declustering methods for parallel range queries
Sy‐Yen Kuo, Marianne Winslett, Y. Cho, J. Lee

Declustering is a well known technique to achieve high performance for queries on parallel databases. We propose novel General Disk Module (GDM) based declustering algorithms, GDM Cartesian and GDM Circle, for distributing uniformly distributed multidimensional datasets to parallel disks, for datasets of any dimension. We compare the performance of the new approaches with several existing declustering algorithms, using variable numbers of disks, and with variable shapes and dimensions of the dat

Signal ProcessingComputer Science
4
Article|3 citations·2002
Persistent array access using server-directed I/O
Kent Seamons, Y. Chen, Marianne Winslett, Y. Cho, Sy‐Yen Kuo, M. Subramaniam

Large multidimensional arrays are a common data type in high-performance scientific applications. Without special techniques for handling access to these arrays, I/O can easily become a large fraction of execution time for applications using these arrays, especially on parallel platforms. We show how to reduce the parallel I/O bottleneck for array data in closely-synchronized SPMD applications on distributed-memory platforms, through the use of server-directed I/O. This method allows array data

Computer Networks and CommunicationsComputer Science

Research Areas

Molecular BiologySignal ProcessingComputer Networks and Communications

Yeongjae Choiの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。