Demo Data from VLDB 2026 / reviewers in the wild / expert
Hongseok Yun
dblp:59/1488
· DBLP profile ↗
4ranked-venue papers
2as first author
1since 2021 · last 2023
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 4 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
3 papers |
Bioinformatics and computational biology · 100% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › metabolomics
metabolic flux analysis |
0.1 | 2 | 2005 | MFAML: a standard data structure for representing and exchanging metabolic flux models · Bioinform. 2005 MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis · Bioinform. 2003 |
Bioinformatics and computational biology › biological database
protein database |
0.1 | 1 | 2007 | EcoProDB: the Escherichia coli protein database · Bioinform. 2007 |
Bioinformatics and computational biology › proteomics
proteome comparison |
0.1 | 1 | 2007 | EcoProDB: the Escherichia coli protein database · Bioinform. 2007 |
Bioinformatics and computational biology
proteomics |
0.1 | 1 | 2007 | EcoProDB: the Escherichia coli protein database · Bioinform. 2007 |
Bioinformatics and computational biology › systems biology
metabolic modeling |
0.1 | 1 | 2005 | MFAML: a standard data structure for representing and exchanging metabolic flux models · Bioinform. 2005 |
Bioinformatics and computational biology › systems biology
model exchange format |
0.1 | 1 | 2005 | MFAML: a standard data structure for representing and exchanging metabolic flux models · Bioinform. 2005 |
Bioinformatics and computational biology
systems biology |
0.1 | 1 | 2005 | MFAML: a standard data structure for representing and exchanging metabolic flux models · Bioinform. 2005 |
Bioinformatics and computational biology › systems biology
metabolic network analysis |
0.0 | 1 | 2003 | MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
linear programming · 0.0constraint-based modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | ITDetect: a method to detect internal tandem duplication of FMS-like tyrosine kinase (FLT3) from next-generation sequencing data with high sensitivity and clinical applicationabstractInternal tandem duplication (ITD) of the FMS-like tyrosine kinase (FLT3) gene is associated with poor clinical outcomes in patients with acute myeloid leukemia. Although recent methods for detecting FLT3-ITD from next-generation sequencing (NGS) data have replaced traditional ITD detection approaches such as conventional PCR or fragment analysis, their use in the clinical field is still limited and requires further information. Here, we introduce ITDetect, an efficient FLT3-ITD detection approach that uses NGS data. Our proposed method allows for more precise detection and provides more detailed information than existing in silico methods. Further, it enables FLT3-ITD detection from exome sequencing or targeted panel sequencing data, thereby improving its clinical application. We validated the performance of ITDetect using NGS-based and experimental ITD detection methods and successfully demonstrated that ITDetect provides the highest concordance with the experimental methods. The program and data underlying this study are available in a public repository. Sungyoung Lee 0002, Choong-Hyun Sun, Heejun Jang, Daeyoon Kim, Sung-Soo Yoon, Youngil Koh, Seung Chan Na, Sung Im Cho, Man Jin Kim, Moon-Woo Seong, Ja Min Byun, Hongseok Yun |
BMC Bioinform. | 12 |
| 2007 | EcoProDB: the Escherichia coli protein databaseabstractUNLABELLED: EcoProDB is a web-based database for comparative proteomics of Escherichia coli. The database contains information on E. coli proteins identified on 2D gels along with other resources collected from various databases and published literature, with a special feature of showing the expression levels of E. coli proteins under different genetic and environmental conditions. It also provides comparative information of subcellular localization, theoretical 2D map, experimental 2D map and integrated protein information via an interactive web interface and application such as the Map Browser. Users can also upload their own 2D gels, extract core information associated with the proteins and 2D gel results from different experiments and consequently generate new knowledge and hypotheses for further studies. AVAILABILITY: EcoProDB database system is accessible at http://eecoli.kaist.ac.kr. Hongseok Yun, Jeong Wook Lee, Joonwoo Jeong, Jaesung Chung, Jong Myoung Park, Han Na Myoung, Sang Yup Lee |
Bioinform. | 1 |
| 2005 | MFAML: a standard data structure for representing and exchanging metabolic flux modelsabstractSUMMARY: MFAML is a standard data structure designed for the formal representation and effective exchange of metabolic flux models. It allows for the explicit description of stationary states of a metabolic system by defining environmental/genetic conditions of the system, e.g. flux measurements, balancing constraints and physiological objectives as well as basic information on metabolites and reactions. In addition, a library of MFAML comprising a model parser and a converter provides an open framework for establishing the pipeline from metabolic modeling to metabolic flux analysis. AVAILABILITY: MFAML (version 1) is fully described and available at http://mbel.kaist.ac.kr/mfaml/. Hongseok Yun, Dong-Yup Lee, Joonwoo Jeong, Sang Yup Lee |
Bioinform. | 1 |
| 2003 | MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysisabstractSUMMARY: MetaFluxNet is a program package for managing information on the metabolic reaction network and for quantitatively analyzing metabolic fluxes in an interactive and customized way. It allows users to interpret and examine metabolic behavior in response to genetic and/or environmental modifications. As a result, quantitative in silico simulations of metabolic pathways can be carried out to understand the metabolic status and to design the metabolic engineering strategies. The main features of the program include a well-developed model construction environment, user-friendly interface for metabolic flux analysis (MFA), comparative MFA of strains having different genotypes under various environmental conditions, and automated pathway layout creation. AVAILABILITY: http://mbel.kaist.ac.kr/ SUPPLEMENTARY INFORMATION: A manual for MetaFluxNet is available as PDF file. Dong-Yup Lee, Hongseok Yun, Sunwon Park, Sang Yup Lee |
Bioinform. | 2 |