Demo Data from VLDB 2026 / reviewers in the wild / expert
Sydney E. Dautel
dblp:209/7451
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 › metabolomics › lipidomics
lipid identification |
0.3 | 1 | 2017 | LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data · Bioinform. 2017 |
Bioinformatics and computational biology › metabolomics
lipidomics |
0.3 | 1 | 2017 | LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data · Bioinform. 2017 |
Bioinformatics and computational biology
metabolomics |
0.1 | 1 | 2017 | LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
target library matching · 0.3spectral evidence scoring · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics dataabstractSUMMARY: We introduce an open-source software, LIQUID, for semi-automated processing and visualization of LC-MS/MS-based lipidomics data. LIQUID provides users with the capability to process high throughput data and contains a customizable target library and scoring model per project needs. The graphical user interface provides visualization of multiple lines of spectral evidence for each lipid identification, allowing rapid examination of data for making confident identifications of lipid molecular species. LIQUID was compared to other freely available software commonly used to identify lipids and other small molecules (e.g. CFM-ID, MetFrag, GNPS, LipidBlast and MS-DIAL), and was found to have a faster processing time to arrive at a higher number of validated lipid identifications. AVAILABILITY AND IMPLEMENTATION: LIQUID is available at http://github.com/PNNL-Comp-Mass-Spec/LIQUID . CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Jennifer E. Kyle, Kevin L. Crowell, Cameron P. Casey, Grant M. Fujimoto, Sydney E. Dautel, Richard D. Smith, Samuel H. Payne, Thomas O. Metz |
Bioinform. | 6 |