Demo Data from VLDB 2026 / reviewers in the wild / expert
Sandra Preuner
dblp:309/3554
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.5 | 1 | 2021 | Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data · Bioinform. 2021 |
Bioinformatics and computational biology › statistical genetics › haplotype analysis
haplotype phasing |
0.5 | 1 | 2021 | Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data · Bioinform. 2021 |
Bioinformatics and computational biology › cancer genomics › somatic mutation analysis
somatic mutation detection |
0.5 | 1 | 2021 | Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data · Bioinform. 2021 |
Bioinformatics and computational biology › genomics
variant calling |
0.5 | 1 | 2021 | Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
allele probability distribution · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing dataabstractMOTIVATION: Clinical decision making is increasingly guided by accurate and recurrent determination of presence and frequency of (somatic) variants and their haplotype through panel sequencing of disease-relevant genomic regions. Haplotype calling (phasing), however, is difficult and error prone unless variants are located on the same read which limits the ability of short-read sequencing to detect, e.g. co-occurrence of drug-resistance variants. Long-read panel sequencing enables direct phasing of amplicon variants besides having multiple other benefits, however, high error rates of current technologies prevented their applicability in the past. RESULTS: We have developed Nanopanel2, a variant caller for Nanopore panel sequencing data. Nanopanel2 works directly on base-called FAST5 files and uses allele probability distributions and several other filters to robustly separate true from false positive (FP) calls. It effectively calls SNVs and INDELs with variant allele frequencies as low as 1% and 5%, respectively, and produces only few low-frequency false-positive calls (∼1 FP call with VAF<5% per kb amplicon). Haplotype compositions are then determined by direct phasing. Nanopanel2 is the first somatic variant caller for Nanopore data, enabling accurate, fast (turnaround <48 h) and cheap (sequencing costs ∼10$/sample) diagnostic workflows. AVAILABILITYAND IMPLEMENTATION: The data for this study have been deposited at zenodo.org under DOIs accession numbers 4110691 and 4110698. Nanopanel2 is open source and available at https://github.com/popitsch/nanopanel2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Niko Popitsch, Sandra Preuner, Thomas Lion |
Bioinform. | 2 |