Demo Data from EDBT 2026 / reviewers in the wild / expert
Anita Lerch
dblp:66/7271
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0003-3062-5901ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
high-throughput sequencing data analysis |
0.2 | 1 | 2015 | QuasR: quantification and annotation of short reads in R · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.2statistical analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | QuasR: quantification and annotation of short reads in RabstractUNLABELLED: QuasR is a package for the integrated analysis of high-throughput sequencing data in R, covering all steps from read preprocessing, alignment and quality control to quantification. QuasR supports different experiment types (including RNA-seq, ChIP-seq and Bis-seq) and analysis variants (e.g. paired-end, stranded, spliced and allele-specific), and is integrated in Bioconductor so that its output can be directly processed for statistical analysis and visualization. AVAILABILITY AND IMPLEMENTATION: QuasR is implemented in R and C/C++. Source code and binaries for major platforms (Linux, OS X and MS Windows) are available from Bioconductor (www.bioconductor.org/packages/release/bioc/html/QuasR.html). The package includes a 'vignette' with step-by-step examples for typical work flows. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Dimos Gaidatzis, Anita Lerch, Florian Hahne, Michael B. Stadler |
Bioinform. | 2 |