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Katarzyna Sikora

dblp:68/3214 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.412019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Computational science and engineering
workflow management
0.412019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Distributed systems
scalable data processing
0.112019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Distributed systems › workflow management
workflow orchestration
0.112019
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
YearPublicationVenuePosition
2019 snakePipes: facilitating flexible, scalable and integrative epigenomic analysis
abstract
SUMMARY: 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
DEXA2