Demo Data from EDBT 2026 / reviewers in the wild / expert
Hee-Jin Jeong
dblp:68/8410
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Bioinformatics and computational biology · 87% Medical and health informatics · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
glycomics |
0.2 | 1 | 2013 | The Xeno-glycomics database (XDB): a relational database of qualitative and quantitative pig glycome repertoire · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
relational database design · 0.2mass spectrometry · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | The Xeno-glycomics database (XDB): a relational database of qualitative and quantitative pig glycome repertoireabstractSUMMARY: In recent years, the improvement of mass spectrometry-based glycomics techniques (i.e. highly sensitive, quantitative and high-throughput analytical tools) has enabled us to obtain a large dataset of glycans. Here we present a database named Xeno-glycomics database (XDB) that contains cell- or tissue-specific pig glycomes analyzed with mass spectrometry-based techniques, including a comprehensive pig glycan information on chemical structures, mass values, types and relative quantities. It was designed as a user-friendly web-based interface that allows users to query the database according to pig tissue/cell types or glycan masses. This database will contribute in providing qualitative and quantitative information on glycomes characterized from various pig cells/organs in xenotransplantation and might eventually provide new targets in the α1,3-galactosyltransferase gene-knock out pigs era. AVAILABILITY: The database can be accessed on the web at http://bioinformatics.snu.ac.kr/xdb. Hae-Min Park, Ju-Hyeong Park, Yoon-Woo Kim, Kyoung-Jin Kim, Hee-Jin Jeong, Kyoung-Soon Jang, Byung-Gee Kim, Yun-Gon Kim |
Bioinform. | 5 |