Demo Data from EDBT 2026 / reviewers in the wild / expert
Isaac Ho
dblp:74/8254
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene ontology analysis |
0.1 | 1 | 2012 | GO-Elite: a flexible solution for pathway and ontology over-representation · Bioinform. 2012 |
Bioinformatics and computational biology › knowledge representation in biology › biomedical ontology
ontology analysis |
0.1 | 1 | 2012 | GO-Elite: a flexible solution for pathway and ontology over-representation · Bioinform. 2012 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
over-representation analysis |
0.1 | 1 | 2012 | GO-Elite: a flexible solution for pathway and ontology over-representation · Bioinform. 2012 |
Bioinformatics and computational biology › systems bioinformatics
pathway analysis |
0.1 | 1 | 2012 | GO-Elite: a flexible solution for pathway and ontology over-representation · Bioinform. 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | GO-Elite: a flexible solution for pathway and ontology over-representationabstractUNLABELLED: We introduce GO-Elite, a flexible and powerful pathway analysis tool for a wide array of species, identifiers (IDs), pathways, ontologies and gene sets. In addition to the Gene Ontology (GO), GO-Elite allows the user to perform over-representation analysis on any structured ontology annotations, pathway database or biological IDs (e.g. gene, protein or metabolite). GO-Elite exploits the structured nature of biological ontologies to report a minimal set of non-overlapping terms. The results can be visualized on WikiPathways or as networks. Built-in support is provided for over 60 species and 50 ID systems, covering gene, disease and phenotype ontologies, multiple pathway databases, biomarkers, and transcription factor and microRNA targets. GO-Elite is available as a web interface, GenMAPP-CS plugin and as a cross-platform application. AVAILABILITY: http://www.genmapp.org/go_elite Alexander C. Zambon, Stan Gaj, Isaac Ho, Kristina Hanspers, Karen Vranizan, Chris T. A. Evelo, Bruce R. Conklin, Alexander R. Pico, Nathan Salomonis |
Bioinform. | 3 |
| 2010 | The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping servicesabstractBACKGROUND: Many complementary solutions are available for the identifier mapping problem. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach requires an interface layer between tools and mapping services. RESULTS: Here we present BridgeDb, a software framework for gene, protein and metabolite identifier mapping. This framework provides a standardized interface layer through which bioinformatics tools can be connected to different identifier mapping services. This approach makes it easier for tool developers to support identifier mapping. Mapping services can be combined or merged to support multi-omics experiments or to integrate custom microarray annotations. BridgeDb provides its own ready-to-go mapping services, both in webservice and local database forms. However, the framework is intended for customization and adaptation to any identifier mapping service. BridgeDb has already been integrated into several bioinformatics applications. CONCLUSION: By uncoupling bioinformatics tools from mapping services, BridgeDb improves capability and flexibility of those tools. All described software is open source and available at http://www.bridgedb.org. Martijn P. van Iersel, Alexander R. Pico, Thomas Kelder, Jianjiong Gao, Isaac Ho, Kristina Hanspers, Bruce R. Conklin, Chris T. A. Evelo |
BMC Bioinform. | 5 |