Demo Data from VLDB 2026 / reviewers in the wild / expert
Ferran Casals
dblp:52/3323
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › single nucleotide polymorphism analysis
SNP association analysis |
0.1 | 1 | 2008 | SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data · Bioinform. 2008 |
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics |
0.1 | 1 | 2008 | SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data · Bioinform. 2008 |
Bioinformatics and computational biology
genetic epidemiology |
0.0 | 1 | 2008 | SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
quality control · 0.1association testing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP dataabstractUNLABELLED: Single nucleotide polymorphisms (SNPs) are the most widely used marker in studies to assess associations between genetic variants and complex traits or diseases. They are also becoming increasingly important in the study of the evolution and history of humans and other species. The analysis and processing of SNPs obtained thanks to high-throughput technologies imply the time consuming and costly use of different, complex and usually format-incompatible software. SNPator is a user-friendly web-based SNP data analysis suite that integrates, among many other algorithms, the most common steps of a SNP association study. It frees the user from the need to have large computer facilities and an in depth knowledge of genetic software installation and management. Genotype data is directly read from the output files of the usual genotyping platforms. Phenotypic data on the samples can also be easily uploaded. Many different quality control and analysis procedures can be performed either by using built-in SNPator algorithms or by calling standard genetic software. AVAILABILITY: Access is granted from the SNPator webpage http://www.snpator.org. Carlos Morcillo-Suarez, Josep Alegre, Ricardo Sangros, Elodie Gazave, Rafael de Cid, Roger Milne, Jorge Amigo, Anna Ferrer-Admetlla, Andrés Moreno-Estrada, Michelle Gardner, Ferran Casals, Anna Pérez-Lezaun, David Comas, Elena Bosch, Francesc Calafell, Jaume Bertranpetit, Arcadi Navarro |
Bioinform. | 11 |