Demo Data from VLDB 2026 / reviewers in the wild / expert
Ali Salehzadeh-Yazdi
dblp:119/7640
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-1678-0051ORCID · verified
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% | |
| Databases, data mining, and information retrieval
1 paper |
Graph data management · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › metabolic network analysis
genome-scale metabolic model analysis |
0.4 | 1 | 2020 | GEMtractor: extracting views into genome-scale metabolic models · Bioinform. 2020 |
Bioinformatics and computational biology › biological network › network biology
subnetwork extraction |
0.4 | 1 | 2020 | GEMtractor: extracting views into genome-scale metabolic models · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
topological analysis · 0.9SBML parsing · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | GEMtractor: extracting views into genome-scale metabolic modelsabstractSUMMARY: Computational metabolic models typically encode for graphs of species, reactions and enzymes. Comparing genome-scale models through topological analysis of multipartite graphs is challenging. However, in many practical cases it is not necessary to compare the full networks. The GEMtractor is a web-based tool to trim models encoded in SBML. It can be used to extract subnetworks, for example focusing on reaction- and enzyme-centric views into the model. AVAILABILITY AND IMPLEMENTATION: The GEMtractor is licensed under the terms of GPLv3 and developed at github.com/binfalse/GEMtractor-a public version is available at sbi.uni-rostock.de/gemtractor. Martin Scharm, Olaf Wolkenhauer, Mahdi Jalili, Ali Salehzadeh-Yazdi |
Bioinform. | 4 |