Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jennifer L. Asimit
dblp:28/8768
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-4857-2249ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › fine-mapping
genetic fine-mapping |
0.6 | 1 | 2022 | Flashfm-ivis: interactive visualization for fine-mapping of multiple quantitative traits · Bioinform. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Flashfm-ivis: interactive visualization for fine-mapping of multiple quantitative traitsabstractSUMMARY: flashfm-ivis provides a suite of interactive visualization plots to view potential causal genetic variants that underlie associations that are shared or distinct between multiple quantitative traits and compares results between single- and multi-trait fine-mapping. Unique features include network diagrams that show joint effects between variants for each trait and regional association plots that integrate fine-mapping results, all with user-controlled zoom features for an interactive exploration of potential causal variants across traits. AVAILABILITY AND IMPLEMENTATION: flashfm-ivis is an open-source software under the MIT license. It is available as an interactive web-based tool (http://shiny.mrc-bsu.cam.ac.uk/apps/flashfm-ivis/) and as an R package. Code and documentation are available at https://github.com/fz-cambridge/flashfm-ivis and https://zenodo.org/record/6376244#.YjnarC-l2X0. Additional features can be downloaded as standalone R libraries to encourage reuse. SUPPLEMENTARY INFORMATION: Supplementary information are available at Bioinformatics online. Feng Zhou 0017, Adam S. Butterworth, Jennifer L. Asimit |
Bioinform. | 3 |