EDBT 2026 Demo / reviewers in the wild / expert
Katarzyna Sikora
dblp:68/3214
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1Applied, 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 · 50% Computational science and engineering · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
epigenomics |
0.4 | 1 | 2019 | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019 |
Computational science and engineering
workflow management |
0.4 | 1 | 2019 | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019 |
Distributed systems
scalable data processing |
0.1 | 1 | 2019 | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019 |
Distributed systems › workflow management
workflow orchestration |
0.1 | 1 | 2019 | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
workflow pipeline · 0.8command-line wrappers · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | snakePipes: facilitating flexible, scalable and integrative epigenomic analysisabstractSUMMARY: Due to the rapidly increasing scale and diversity of epigenomic data, modular and scalable analysis workflows are of wide interest. Here we present snakePipes, a workflow package for processing and downstream analysis of data from common epigenomic assays: ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C and single-cell RNA-seq. snakePipes enables users to assemble variants of each workflow and to easily install and upgrade the underlying tools, via its simple command-line wrappers and yaml files. AVAILABILITY AND IMPLEMENTATION: snakePipes can be installed via conda: `conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'. Source code (https://github.com/maxplanck-ie/snakepipes) and documentation (https://snakepipes.readthedocs.io/en/latest/) are available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Vivek Bhardwaj 0002, Steffen Heyne, Katarzyna Sikora, Leily Rabbani, Michael Rauer, Fabian Kilpert, Andreas S. Richter, Devon Patrick Ryan, Thomas Manke |
Bioinform. | 3 |
| 2011 | Proposition of a Competence-Based Computer System for Supporting Candidates for Studies and Students
Katarzyna Sikora, Przemyslaw Rózewski, Emma Kushtina |
KES (3) | 1 |
| 2007 | Creating Learning Objects and Learning Sequence on the Basis of Semantic Networks
Przemyslaw Korytkowski, Katarzyna Sikora |
DEXA | 2 |