Demo Data from EDBT 2026 / reviewers in the wild / expert
Joelle M. Kalicki-Veizer
dblp:116/9504
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › cancer genomics
gene fusion detection |
0.1 | 1 | 2012 | BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data · Bioinform. 2012 |
Bioinformatics and computational biology › transcriptomics
transcriptome sequencing |
0.1 | 1 | 2012 | BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
reference alignment · 0.1read-pair analysis · 0.1de novo assembly · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing dataabstractAbstract Summary: Despite recent progress, computational tools that identify gene fusions from next-generation whole transcriptome sequencing data are often limited in accuracy and scalability. Here, we present a software package, BreakFusion that combines the strength of reference alignment followed by read-pair analysis and de novo assembly to achieve a good balance in sensitivity, specificity and computational efficiency. Availability: http://bioinformatics.mdanderson.org/main/BreakFusion Contact: [email protected]; [email protected] Supplementary information: Supplementary data are available at Bioinformatics online Ken Chen 0001, John W. Wallis, Cyriac Kandoth, Joelle M. Kalicki-Veizer, Karen L. Mungall, Andrew J. Mungall, Steven J. M. Jones, Marco A. Marra, Timothy J. Ley, Elaine R. Mardis, Richard K. Wilson, John N. Weinstein |
Bioinform. | 4 |