Demo Data from SIGIR 2026 / reviewers in the wild / expert
Christophe Marcelle
dblp:07/1106
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0002-9612-7609ORCID · corroborated
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
2 papers |
Bioinformatics and computational biology · 76% Computational social science and digital humanities · 24% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
biocuration |
0.1 | 1 | 2012 | MyMiner: a web application for computer-assisted biocuration and text annotation · Bioinform. 2012 |
Computational social science and digital humanities › text analysis
text annotation |
0.1 | 1 | 2012 | MyMiner: a web application for computer-assisted biocuration and text annotation · Bioinform. 2012 |
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2008 | COMPARE, a multi-organism system for cross-species data comparison and transfer of information · Bioinform. 2008 |
Bioinformatics and computational biology › comparative genomics
cross-species comparison |
0.1 | 1 | 2008 | COMPARE, a multi-organism system for cross-species data comparison and transfer of information · Bioinform. 2008 |
Bioinformatics and computational biology › comparative genomics › orthology analysis
ortholog identification |
0.1 | 1 | 2008 | COMPARE, a multi-organism system for cross-species data comparison and transfer of information · Bioinform. 2008 |
Bioinformatics and computational biology
biomedical text mining |
0.0 | 1 | 2012 | MyMiner: a web application for computer-assisted biocuration and text annotation · Bioinform. 2012 |
Bioinformatics and computational biology
data integration |
0.0 | 1 | 2008 | COMPARE, a multi-organism system for cross-species data comparison and transfer of information · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
text mining · 0.1ortholog prediction pipeline · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | MyMiner: a web application for computer-assisted biocuration and text annotationabstractMOTIVATION: The exponential growth of scientific literature has resulted in a massive amount of unstructured natural language data that cannot be directly handled by means of bioinformatics tools. Such tools generally require structured data, often generated through a cumbersome process of manual literature curation. Herein, we present MyMiner, a free and user-friendly text annotation tool aimed to assist in carrying out the main biocuration tasks and to provide labelled data for the development of text mining systems. MyMiner allows easy classification and labelling of textual data according to user-specified classes as well as predefined biological entities. The usefulness and efficiency of this application have been tested for a range of real-life annotation scenarios of various research topics. AVAILABILITY: http://myminer.armi.monash.edu.au. David Salgado, Martin Krallinger, Marc Depaule, Elodie Drula, Ashish V. Tendulkar, Florian Leitner, Alfonso Valencia, Christophe Marcelle |
Bioinform. | 8 |
| 2008 | COMPARE, a multi-organism system for cross-species data comparison and transfer of informationabstractMOTIVATION: COMPARE is a multi-organism web-based resource system designed to easily retrieve, correlate and interpret data across species. The COMPARE interface provides access to a wide array of information including genomic structure, expression data, annotations, pathways and literature links for human and three widely studied animal models (zebrafish, Drosophila and mouse). A consensus ortholog-finding pipeline combining several ortholog prediction methods allows accurate comparisons of data across species and has been utilized to transfer information from well studied organisms to more poorly annotated ones. AVAILABILITY: http://compare.ibdml.univ-mrs.fr. David Salgado, Gregory Gimenez, François Coulier, Christophe Marcelle |
Bioinform. | 4 |