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Joelle M. Kalicki-Veizer

dblp:116/9504 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › cancer genomics
gene fusion detection
0.112012
BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data · Bioinform. 2012
Bioinformatics and computational biology › transcriptomics
transcriptome sequencing
0.112012
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
YearPublicationVenuePosition
2012 BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data
abstract
Abstract 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