Demo Data from VLDB 2026 / reviewers in the wild / expert
Sophie Bakker
dblp:370/5245
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers |
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
immunoinformatics |
1.5 | 2 | 2025 | Delineating inter- and intra-antibody repertoire evolution with AntibodyForests · Bioinform. 2025 ePlatypus: an ecosystem for computational analysis of immunogenomics data · Bioinform. 2023 |
Bioinformatics and computational biology › immunoinformatics
b cell repertoire analysis |
0.9 | 1 | 2025 | Delineating inter- and intra-antibody repertoire evolution with AntibodyForests · Bioinform. 2025 |
Bioinformatics and computational biology › single-cell analysis
single-cell sequencing |
0.2 | 1 | 2023 | ePlatypus: an ecosystem for computational analysis of immunogenomics data · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
protein structure analysis · 0.9protein language model · 0.9spatial transcriptomics · 0.7pseudotime analysis · 0.7phylogenetics · 0.7machine learning · 0.7graph theory · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Delineating inter- and intra-antibody repertoire evolution with AntibodyForestsabstractMOTIVATION: The rapid advancements in immune repertoire sequencing, powered by single-cell technologies and artificial intelligence, have created unprecedented opportunities to study B cell evolution at a novel scale and resolution. However, fully leveraging these data requires specialized software capable of performing inter- and intra-repertoire analyses to unravel the complex dynamics of B cell repertoire evolution during immune responses. RESULTS: Here, we present AntibodyForests, software to infer B cell lineages, quantify inter- and intra-antibody repertoire evolution, and analyze somatic hypermutation using protein language models and protein structure. AVAILABILITY AND IMPLEMENTATION: This R package is available on CRAN and Github at https://github.com/alexyermanos/AntibodyForests, a vignette is available at https://cran.case.edu/web/packages/AntibodyForests/vignettes/AntibodyForests_vignette.html. Daphne van Ginneken, Valentijn Tromp, Lucas Stalder, Tudor-Stefan Cotet, Sophie Bakker, Anamay Samant, Sai T. Reddy, Alexander Yermanos |
Bioinform. | 5 |
| 2023 | ePlatypus: an ecosystem for computational analysis of immunogenomics dataabstractMOTIVATION: The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. RESULTS: Here, we present the ePlatypus computational immunology ecosystem for immunogenomics data analysis, with a focus on adaptive immune repertoires and single-cell sequencing. ePlatypus is an open-source web-based platform and provides programming tutorials and an integrative database that helps elucidate signatures of B and T cell clonal selection. Furthermore, the ecosystem links novel and established bioinformatics pipelines relevant for single-cell immune repertoires and other aspects of computational immunology such as predicting ligand-receptor interactions, structural modeling, simulations, machine learning, graph theory, pseudotime, spatial transcriptomics, and phylogenetics. The ePlatypus ecosystem helps extract deeper insight in computational immunology and immunogenomics and promote open science. AVAILABILITY AND IMPLEMENTATION: Platypus code used in this manuscript can be found at github.com/alexyermanos/Platypus. Tudor-Stefan Cotet, Andreas Agrafiotis, Victor Kreiner, Raphael Kuhn, Danielle Shlesinger, Marcos Manero-Carranza, Keywan Khodaverdi, Evgenios Kladis, Aurora Desideri Perea, Dylan Maassen-Veeters, Wiona Glänzer, Solène Massery, Lorenzo Guerci, Kai-Lin Hong, Jiami Han, Kostas Stiklioraitis, Vittoria Martinolli D'arcy, Raphael Dizerens, Samuel Kilchenmann, Lucas Stalder, Leon Nissen, Basil Vogelsanger, Stine Anzböck, Daria Laslo, Sophie Bakker, Melinda Kondorosy, Marco Venerito, Alejandro Sanz García, Isabelle Feller, Annette Oxenius, Sai T. Reddy, Alexander Yermanos |
Bioinform. | 25 |