Demo Data from SIGIR 2026 / reviewers in the wild / expert
David M. Henke
dblp:223/8100
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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
genomics |
0.3 | 1 | 2018 | Design tools for MPRA experiments · Bioinform. 2018 |
Bioinformatics and computational biology
massively parallel reporter assay |
0.3 | 1 | 2018 | Design tools for MPRA experiments · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
power analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Design tools for MPRA experimentsabstractMotivation: Genetic reporter assays are a convenient, relatively inexpensive method for studying the regulation of gene expression. Massively Parallel Reporter Assays (MPRA) are high-throughput functionalization assays that interrogate the transcriptional activity of many genetic variants at once using a library of synthetic barcoded constructs. Despite growing interest in this area, there are few computational tools to design and execute MPRA studies. Results: We designed an online web-tool and R package that allows for interactive MPRA experimental design encompassing both power analysis and design of constructs. Our tool is tuned using data from real MPRA studies. Users can adjust experimental parameters to examine the predicted effect on assay power as well as upload VCFs for automated construct sequence generation. Availability and implementation: The MPRA Design Tools web application is available here: https://andrewghazi.shinyapps.io/designmpra/, https://github.com/andrewGhazi/designMPRA and https://github.com/andrewGhazi/mpradesigntools. Supplementary information: Supplementary data are available at Bioinformatics online. Andrew R. Ghazi, Edward S. Chen, David M. Henke, Namrata Madan, Leonard C. Edelstein, Chad A. Shaw |
Bioinform. | 3 |