Demo Data from EDBT 2026 / reviewers in the wild / expert
Julie-Alexia Dias
dblp:425/2904
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-3039-9529ORCID · 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 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 |
0.8 | 1 | 2024 | Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations · Bioinform. 2024 |
Bioinformatics and computational biology › statistical genetics
genotype-phenotype analysis |
0.8 | 1 | 2024 | Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations · Bioinform. 2024 |
Bioinformatics and computational biology
population genetics |
0.8 | 1 | 2024 | Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
polygenic scoring · 0.8genotype simulation · 0.8association testing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populationsabstractSUMMARY: Admixed populations, with their unique and diverse genetic backgrounds, are often underrepresented in genetic studies. This oversight not only limits our understanding but also exacerbates existing health disparities. One major barrier has been the lack of efficient tools tailored for the special challenges of genetic studies of admixed populations. Here, we present admix-kit, an integrated toolkit and pipeline for genetic analyses of admixed populations. Admix-kit implements a suite of methods to facilitate genotype and phenotype simulation, association testing, genetic architecture inference, and polygenic scoring in admixed populations. AVAILABILITY AND IMPLEMENTATION: Admix-kit package is open-source and available at https://github.com/KangchengHou/admix-kit. Additionally, users can use the pipeline designed for admixed genotype simulation available at https://github.com/UW-GAC/admix-kit_workflow. Kangcheng Hou, Stephanie M. Gogarten, Xing Hua, Julie-Alexia Dias, Ying Wang 0074, Taotao Tan, Elizabeth G. Atkinson, Alicia Martin, Jonathan Shortt, Jibril Hirbo, Bogdan Pasaniuc |
Bioinform. | 5 |