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Yvonne Lisa Behrens

dblp:426/1160 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-2390-0541ORCID · reported

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 · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › single-cell analysis
single-cell sequencing
0.912025
scafari: exploring scDNA-seq data · Bioinform. 2025
Bioinformatics and computational biology › sequence analysis › sequencing data processing
sequencing quality control
0.312025
scafari: exploring scDNA-seq data · Bioinform. 2025
Bioinformatics and computational biology › genomics
variant analysis
0.312025
scafari: exploring scDNA-seq data · Bioinform. 2025

Methods — techniques the papers use, named apart from their topics

visualization · 0.9quality control · 0.9
YearPublicationVenuePosition
2025 scafari: exploring scDNA-seq data
abstract
SUMMARY: Recent advances in single-cell sequencing made it possible to not just analyze a cell's individual expression pattern, but to gain insights into a single cell's genome using the cutting-edge technology single-cell DNA sequencing. Mission Bio is, with the Tapestri platform, one of the few providers of this technology. So far, however, there is only little open-source software available for user-friendly processing and quality analysis of this data type. With scafari, we present a tool that offers easy-to-use data quality control as well as explorative variant analyses and visualization. AVAILABILITY AND IMPLEMENTATION: scafari is implemented as an R Bioconductor package featuring a shiny application and is available at https://bioconductor.org/packages/scafari.
Sophie-Marie Wind, Thea Reinkens, Yvonne Lisa Behrens, Sarah Sandmann
Bioinform.3