Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hee-Jin Jeong

dblp:68/8410 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
glycomics
0.212013
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
YearPublicationVenuePosition
2013 The Xeno-glycomics database (XDB): a relational database of qualitative and quantitative pig glycome repertoire
abstract
SUMMARY: 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