Demo Data from EDBT 2026 / reviewers in the wild / expert
Jens Aßmus
dblp:93/7970
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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 › fine-mapping
causal variant identification |
0.1 | 1 | 2010 | CandiSNPer: a web tool for the identification of candidate SNPs for causal variants · Bioinform. 2010 |
Bioinformatics and computational biology › genomics
genome-wide association study |
0.1 | 1 | 2010 | CandiSNPer: a web tool for the identification of candidate SNPs for causal variants · Bioinform. 2010 |
Bioinformatics and computational biology › population genetics
linkage disequilibrium |
0.1 | 1 | 2010 | CandiSNPer: a web tool for the identification of candidate SNPs for causal variants · Bioinform. 2010 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | CandiSNPer: a web tool for the identification of candidate SNPs for causal variantsabstractSUMMARY: Human single nucleotide polymorphism (SNP) chips which are used in genome-wide association studies (GWAS) permit the genotyping of up to 4 million SNPs simultaneously. To date, about 1000 human SNPs have been identified as statistically significantly associated with a disease or another trait of interest. The identified SNP is not necessarily the causal variant, but it is rather in linkage disequilibrium (LD) with it. CandiSNPer is a software tool that determines the LD region around a significant SNP from a GWAS. It provides a list with functional annotation and LD values for the SNPs found in the LD region. This list contains not only the SNPs for which genotyping data are available, but all SNPs with rs-IDs, thus increasing the likelihood to include the causal variant. Furthermore, plots showing the LD values are generated. CandiSNPer facilitates the preselection of candidate SNPs for causal variants. AVAILABILITY AND IMPLEMENTATION: The CandiSNPer server is freely available at http://www2.hu-berlin.de/wikizbnutztier/software/CandiSNPer. The source code is available to academic users 'as is' upon request. The web site is implemented in Perl and R and runs on an Apache server. The Ensembl database is queried for SNP data via Perl APIs. Armin Otto Schmitt, Jens Aßmus, Ralf H. Bortfeldt, Gudrun A. Brockmann |
Bioinform. | 2 |