Demo Data from EDBT 2026 / reviewers in the wild / expert
Mingzhe Zhuang
dblp:78/128
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
bioinformatics resource integration |
0.0 | 1 | 2001 | ISYS: a decentralized, component-based approach to the integration of heterogeneous bioinformatics resources · Bioinform. 2001 |
Methods — techniques the papers use, named apart from their topics
interface-based data model · 0.0component-based integration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | ISYS: a decentralized, component-based approach to the integration of heterogeneous bioinformatics resourcesabstractAbstract Motivation: Heterogeneity of databases and software resources continues to hamper the integration of biological information. Top-down solutions are not feasible for the full-scale problem of integration across biological species and data types. Bottom-up solutions so far have not integrated, in a maximally flexible way, dynamic and interactive graphical-user-interface components with data repositories and analysis tools. Results: We present a component-based approach that relies on a generalized platform for component integration. The platform enables independently-developed components to synchronize their behavior and exchange services, without direct knowledge of one another. An interface-based data model allows the exchange of information with minimal component interdependency. From these interactions an integrated system results, which we call ISYS\batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(^{TM}\) \end{document}. By allowing services to be discovered dynamically based on selected objects, ISYS encourages a kind of exploratory navigation that we believe to be well-suited for applications in genomic research. Availability: A ‘developer’s kit’ for creating software that uses the ISYS platform is available at www.ncgr.org/research/isys/devrel.html. It includes a more refined and fully documented version of the platform and a starting set of ISYS-ready components. Up-to-date descriptions of the ISYS project can be found at www.ncgr.org/research/isys. Contact: [email protected] * To whom correspondence should be addressed. Adam C. Siepel, Andrew D. Farmer, Andrew N. Tolopko, Mingzhe Zhuang, Pedro Mendes 0001, William D. Beavis, Bruno W. S. Sobral |
Bioinform. | 4 |