Demo Data from EDBT 2026 / reviewers in the wild / expert
Chang-Muk Lee
dblp:214/6102
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
database search |
0.3 | 1 | 2018 | UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics · Bioinform. 2018 |
Bioinformatics and computational biology › metabolomics
metabolite identification |
0.3 | 1 | 2018 | UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics · Bioinform. 2018 |
Bioinformatics and computational biology
metabolomics |
0.3 | 1 | 2018 | UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
inchi hashing · 0.3database search · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomicsabstractSummary: For metabolite annotation in metabolomics, variations in the registered states of compounds (charged molecules and multiple components, such as salts) and their redundancy among compound databases could be the cause of misannotations and hamper immediate recognition of the uniqueness of metabolites while searching by mass values measured using mass spectrometry. We developed a search system named UC2 (Unique Connectivity of Uncharged Compounds), where compounds are tentatively neutralized into uncharged states and stored on the basis of their unique connectivity of atoms after removing their stereochemical information using the first block in the hash of the IUPAC International Chemical Identifier, by which false-positive hits are remarkably reduced, both charged and uncharged compounds are properly searched in a single query and records having a unique connectivity are compiled in a single search result. Availability and implementation: The UC2 search tool is available free of charge as a REST web service (http://webs2.kazusa.or.jp/mfsearcher) and a Java-based GUI tool. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Nozomu Sakurai, Takafumi Narise, Joon-Soo Sim, Chang-Muk Lee, Chiaki Ikeda, Nayumi Akimoto, Shigehiko Kanaya |
Bioinform. | 4 |