Demo Data from EDBT 2026 / reviewers in the wild / expert
José-María Castelo
dblp:432/4671
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0005-3435-0273ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 › population genetics
admixture analysis |
1.0 | 1 | 2026 | Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statistics · Bioinform. 2026 |
Bioinformatics and computational biology
population genetics |
1.0 | 1 | 2026 | Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statistics · Bioinform. 2026 |
Bioinformatics and computational biology › population genetics
ancestry inference |
0.3 | 1 | 2026 | Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statistics · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
geometric interpretation · 1.0f-statistics · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statisticsabstractSUMMARY: Mixtum is a Python-based code that estimates ancestry contributions in a process of two-way admixture based on bi-allelic genotype data. The outcomes of Mixtum come from the geometric interpretation of the f-statistics formalism. Designed with user-friendliness as a priority, Mixtum allows to interactively handle a menu of user-supplied populations to build different mixture models in conjunction with the set of auxiliary populations required by the framework. The results are presented graphically and numerically. Importantly, Mixtum provides a novel index (an angle) that assesses the quality of the ancestral reconstruction of the model under scrutiny. The use and interpretation of the outcomes of Mixtum are explained and illustrated with case studies. AVAILABILITY AND IMPLEMENTATION: The open source code is available on GitHub at https://github.com/jmcastelo/mixtum and on Zenodo at https://doi.org/10.5281/zenodo.17789375. Mixtum is implemented in Python and runs on Linux, Windows and macOS. José-María Castelo, José Ángel Oteo, Gonzalo Oteo-García |
Bioinform. | 1 |