Demo Data from EDBT 2026 / reviewers in the wild / expert
Vincent Portero
dblp:71/10454
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-7221-859XORCID · reported
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.1 | 1 | 2011 | Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011 |
Bioinformatics and computational biology › genomics
computational genomics |
0.0 | 1 | 2011 | Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011 |
Bioinformatics and computational biology › clinical bioinformatics
variant interpretation |
0.0 | 1 | 2011 | Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
workflow engine · 0.1graphical user interface · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIMEabstractSUMMARY: Analysing large amounts of data generated by next-generation sequencing (NGS) technologies is difficult for researchers or clinicians without computational skills. They are often compelled to delegate this task to computer biologists working with command line utilities. The availability of easy-to-use tools will become essential with the generalization of NGS in research and diagnosis. It will enable investigators to handle much more of the analysis. Here, we describe Knime4Bio, a set of custom nodes for the KNIME (The Konstanz Information Miner) interactive graphical workbench, for the interpretation of large biological datasets. We demonstrate that this tool can be utilized to quickly retrieve previously published scientific findings. Pierre Lindenbaum, Solena Le Scouarnec, Vincent Portero, Richard Redon |
Bioinform. | 3 |