Demo Data from EDBT 2026 / reviewers in the wild / expert
Ayaz M. Kassamali
dblp:27/1859
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
genotype data analysis |
0.1 | 1 | 2005 | SNP Chart: an integrated platform for visualization and interpretation of microarray genotyping data · Bioinform. 2005 |
Bioinformatics and computational biology › statistical genetics
single nucleotide polymorphism analysis |
0.0 | 1 | 2005 | SNP Chart: an integrated platform for visualization and interpretation of microarray genotyping data · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
quality control · 0.1genotype scoring · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | SNP Chart: an integrated platform for visualization and interpretation of microarray genotyping dataabstractAbstract Summary: SNP Chart is a Java application for the visualization and interpretation of microarray genotyping data primarily derived from arrayed primer extension-based chemistries. Spot intensity output files from microarray analysis tools are imported into SNP Chart, together with a multi-channel TIFF image of the original array experiment and a list of the actual single nucleotide polymorphisms (SNPs) being tested. Data from different and/or replicate probes that interrogate the same SNP, but that are scattered across the array grid, can be reassembled into a single chart format, specific for the SNP. This allows a quick and very effective ‘visualization’/‘quality control’ of the data from multiple probes for the same SNP that can be easily interpreted and manually scored as a genotype. Availability: http://www.snpchart.ca Contact: [email protected] Supplementary information: A comprehensive manual describing SNP Chart is available at the above website, together with sample data files. Scott J. Tebbutt, Igor V. Opushnyev, Ben W. Tripp, Ayaz M. Kassamali, Wendy L. Alexander, Marilyn I. Andersen |
Bioinform. | 4 |