Demo Data from EDBT 2026 / reviewers in the wild / expert
Jasmin Straube
dblp:150/0171
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-1748-0659ORCID · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › read mapping
read mapping visualization |
0.2 | 1 | 2014 | ReadXplorer - visualization and analysis of mapped sequences · Bioinform. 2014 |
Bioinformatics and computational biology › gene expression analysis
differential expression analysis |
0.1 | 1 | 2014 | ReadXplorer - visualization and analysis of mapped sequences · Bioinform. 2014 |
Bioinformatics and computational biology
transcriptomics |
0.1 | 1 | 2014 | ReadXplorer - visualization and analysis of mapped sequences · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
read mapping classification · 0.2coverage analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | ReadXplorer - visualization and analysis of mapped sequencesabstractMOTIVATION: Fast algorithms and well-arranged visualizations are required for the comprehensive analysis of the ever-growing size of genomic and transcriptomic next-generation sequencing data. RESULTS: ReadXplorer is a software offering straightforward visualization and extensive analysis functions for genomic and transcriptomic DNA sequences mapped on a reference. A unique specialty of ReadXplorer is the quality classification of the read mappings. It is incorporated in all analysis functions and displayed in ReadXplorer's various synchronized data viewers for (i) the reference sequence, its base coverage as (ii) normalizable plot and (iii) histogram, (iv) read alignments and (v) read pairs. ReadXplorer's analysis capability covers RNA secondary structure prediction, single nucleotide polymorphism and deletion-insertion polymorphism detection, genomic feature and general coverage analysis. Especially for RNA-Seq data, it offers differential gene expression analysis, transcription start site and operon detection as well as RPKM value and read count calculations. Furthermore, ReadXplorer can combine or superimpose coverage of different datasets. AVAILABILITY AND IMPLEMENTATION: ReadXplorer is available as open-source software at http://www.readxplorer.org along with a detailed manual. Rolf Hilker, Kai Bernd Stadermann, Daniel Doppmeier, Jörn Kalinowski, Jens Stoye, Jasmin Straube, Jörn Winnebald, Alexander Goesmann |
Bioinform. | 6 |