Demo Data from VLDB 2026 / reviewers in the wild / expert
Ramona Schmid
dblp:00/949
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
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 · 50% Computational science and engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression analysis |
0.8 | 1 | 2024 | nf-core/nanostring: a pipeline for reproducible NanoString nCounter analysis · Bioinform. 2024 |
Computational science and engineering › computational reproducibility
reproducible workflow |
0.8 | 1 | 2024 | nf-core/nanostring: a pipeline for reproducible NanoString nCounter analysis · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
workflow pipeline · 0.8containerization · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | nf-core/nanostring: a pipeline for reproducible NanoString nCounter analysisabstractMOTIVATION: The NanoString™ nCounter® technology platform is a widely used targeted quantification platform for the analysis of gene expression of up to ∼800 genes. Whereas the software tools by the manufacturer can perform the analysis in an interactive and GUI driven approach, there is no portable and user-friendly workflow available that can be used to perform reproducible analysis of multiple samples simultaneously in a scalable fashion on different computing infrastructures. RESULTS: Here, we present the nf-core/nanostring open-source pipeline to perform a comprehensive analysis including quality control and additional features such as expression visualization, annotation with additional metadata and input creation for differential gene expression analysis. The workflow features an easy installation, comprehensive documentation, open-source code with the possibility for further extensions, a strong portability across multiple computing environments and detailed quality metrics reporting covering all parts of the pipeline. nf-core/nanostring has been implemented in the Nextflow workflow language and supports Docker, Singularity, Podman container technologies as well as Conda environments, enabling easy deployment on any Nextflow supported compatible system, including most widely used cloud computing environments such as Google GCP or Amazon AWS. AVAILABILITY AND IMPLEMENTATION: The source code, documentation and installation instructions as well as results for continuous tests are freely available at https://github.com/nf-core/nanostring and https://nf-co.re/nanostring. Alexander Peltzer, Christopher Mohr, Kai Bernd Stadermann, Matthias Zwick, Ramona Schmid |
Bioinform. | 5 |