Demo Data from VLDB 2026 / reviewers in the wild / expert
Emanuela Bertocco
dblp:78/3437
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.0 | 1 | 2003 | TRAIT (TRAnscript Integrated Table): a knowledgebase of human skeletal muscle transcripts · Bioinform. 2003 |
Bioinformatics and computational biology › transcriptomics › transcriptome annotation
transcript annotation |
0.0 | 1 | 2003 | TRAIT (TRAnscript Integrated Table): a knowledgebase of human skeletal muscle transcripts · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
ontology annotation · 0.0manual curation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | TRAIT (TRAnscript Integrated Table): a knowledgebase of human skeletal muscle transcriptsabstractAbstract Summary: TRAIT is a knowledgebase integrating information on transcripts with related data from genome, proteins, ortholog genes and diseases. It was initially built as a system to manage an EST-based gene discovery project on human skeletal muscle, which yielded over 4500 independent sequence clusters. Transcripts are annotated using automatic as well as manual procedures, linking known transcripts to public databases and unknown transcripts to tables of predicted features. Data are stored in a MySQL database. Complex queries are automatically built by means of a user-friendly web interface that allows the concurrent selection of many fields such as ontology, expression level, map position and protein domains. The results are parsed by the system and returned in a ranked order, in respect to the number of satisfied criteria. Availability: http://muscle.cribi.unipd.it and http://muscle.cribi.unipd.it/features/querystrait.html Contact: [email protected]; [email protected] * To whom correspondence should be addressed. Stefano Toppo, Nicola Cannata, Paolo Fontana, Chiara Romualdi, Paolo Laveder, Emanuela Bertocco, Gerolamo Lanfranchi, Giorgio Valle |
Bioinform. | 6 |