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Haveela Kunche

dblp:290/0577 · DBLP profile ↗
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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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
functional genomics
0.512021
CAFE: a software suite for analysis of paired-sample transposon insertion sequencing data · Bioinform. 2021
Bioinformatics and computational biology › functional genomics
transposon insertion sequencing analysis
0.512021
CAFE: a software suite for analysis of paired-sample transposon insertion sequencing data · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

statistical testing · 0.5read enrichment analysis · 0.5
YearPublicationVenuePosition
2021 CAFE: a software suite for analysis of paired-sample transposon insertion sequencing data
abstract
SUMMARY: Sequencing of transposon insertion libraries is used to determine the relative fitness of individual mutants at a large scale. However, there is a lack of tools for specifically analyzing data from such experiments with paired sample designs. Here, we introduce CAFE-Coefficient-based Analysis of Fitness by read Enrichment-a software package that can analyze data from paired transposon mutant sequencing experiments, generate fitness coefficients for each gene and condition and perform appropriate statistical testing on these fitness coefficients. AVAILABILITY AND IMPLEMENTATION: CAFE is implemented in Perl and R. The source code is freely available for download under the MIT License from https://github.com/bengtssonpalme/cafe and http://microbiology.se/software/cafe/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Anna Abramova, Adriana Osinska, Haveela Kunche, Emil Burman, Johan Bengtsson-Palme
Bioinform.3