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

Ali Salehzadeh-Yazdi

dblp:119/7640 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology › metabolic network analysis
genome-scale metabolic model analysis
0.412020
GEMtractor: extracting views into genome-scale metabolic models · Bioinform. 2020
Bioinformatics and computational biology › biological network › network biology
subnetwork extraction
0.412020
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
YearPublicationVenuePosition
2020 GEMtractor: extracting views into genome-scale metabolic models
abstract
SUMMARY: 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