Demo Data from EDBT 2026 / reviewers in the wild / expert
Frédéric Fournier
dblp:70/2580
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0001-5785-5403ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
protein identification |
0.2 | 1 | 2014 | rTANDEM, an R/Bioconductor package for MS/MS protein identification · Bioinform. 2014 |
Bioinformatics and computational biology
proteomics |
0.2 | 1 | 2014 | rTANDEM, an R/Bioconductor package for MS/MS protein identification · Bioinform. 2014 |
Bioinformatics and computational biology › proteomics › mass spectrometry data analysis
tandem mass spectrometry database searching |
0.2 | 1 | 2014 | rTANDEM, an R/Bioconductor package for MS/MS protein identification · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
x!tandem algorithm · 0.2r/bioconductor integration · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | rTANDEM, an R/Bioconductor package for MS/MS protein identificationabstractSUMMARY: rTANDEM is an R/Bioconductor package that interfaces the X!Tandem protein identification algorithm. The package can run the multi-threaded algorithm on proteomic data files directly from R. It also provides functions to convert search parameters and results to/from R as well as functions to manipulate parameters and automate searches. An associated R package, shinyTANDEM, provides a web-based graphical interface to visualize and interpret the results. Together, those two packages form an entry point for a general MS/MS-based proteomic pipeline in R/Bioconductor. AVAILABILITY AND IMPLEMENTATION: rTANDEM and shinyTANDEM are distributed in R/Bioconductor, http://bioconductor.org/packages/release/bioc/. The packages are under open licenses (GPL-3 and Artistice-1.0). CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Frédéric Fournier, Charles Joly Beauparlant, René Paradis, Arnaud Droit |
Bioinform. | 1 |
| 2007 | Innovative Technologies for Learning in Science LaboratoriesabstractThis paper summarizes results from two educational research Ph.D. theses carried out in recent years at the "Laboratoire de Robotique Pedagogique" of the Universite de Montreal. Both theses focus on innovative educational software and technology for use in science laboratories. The first is the work of Riopel and concerns the combination of computer-simulated experimentation software and microcomputer-based laboratories to provide learners with complete computerized assistance in carrying out both inductive and deductive reasoning. The second, the work of Fournier, concerns a microcomputer- based laboratory environment that allows students to design and construct a measuring system from start to finish, in order to better understand the concepts of measurement and of physical variables. In both of these technological applications, the software is used to automatically record and identify learners' actions. Frédéric Fournier, Martin Riopel |
ICALT | 1 |