Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael A. Hauser
dblp:49/2714
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · unresolved
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
genetic association study |
0.1 | 1 | 2005 | SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005 |
Bioinformatics and computational biology › statistical genetics › variant effect prediction
SNP prioritization |
0.1 | 1 | 2005 | SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005 |
Bioinformatics and computational biology › statistical genetics › single nucleotide polymorphism analysis
SNP selection |
0.1 | 1 | 2005 | SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
linkage disequilibrium analysis · 0.1allele frequency filtering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | SNPselector: a web tool for selecting SNPs for genetic association studiesabstractSUMMARY: Single nucleotide polymorphisms (SNPs) are commonly used for association studies to find genes responsible for complex genetic diseases. With the recent advance of SNP technology, researchers are able to assay thousands of SNPs in a single experiment. But the process of manually choosing thousands of genotyping SNPs for tens or hundreds of genes is time consuming. We have developed a web-based program, SNPselector, to automate the process. SNPselector takes a list of gene names or a list of genomic regions as input and searches the Ensembl genes or genomic regions for available SNPs. It prioritizes these SNPs on their tagging for linkage disequilibrium, SNP allele frequencies and source, function, regulatory potential and repeat status. SNPselector outputs result in compressed Excel spreadsheet files for review by the user. AVAILABILITY: SNPselector is freely available at http://primer.duhs.duke.edu/ Hong Xu 0002, Simon G. Gregory, Elizabeth R. Hauser, Judith E. Stenger, Margaret A. Pericak-Vance, Jeffery M. Vance, Stephan Züchner, Michael A. Hauser |
Bioinform. | 8 |