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Richard Crooijmans

dblp:258/2760 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › association analysis
copy number variant association
0.412020
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes · Bioinform. 2020
Bioinformatics and computational biology
genomics
0.412020
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes · Bioinform. 2020
Bioinformatics and computational biology › genomics
structural variation
0.412020
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes · Bioinform. 2020
Bioinformatics and computational biology › genomics
genome-wide association study
0.112020
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes · Bioinform. 2020

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

statistical association analysis · 0.4
YearPublicationVenuePosition
2020 CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes
abstract
SUMMARY: Copy number variation (CNV) is a major type of structural genomic variation that is increasingly studied across different species for association with diseases and production traits. Established protocols for experimental detection and computational inference of CNVs from SNP array and next-generation sequencing data are available. We present the CNVRanger R/Bioconductor package which implements a comprehensive toolbox for structured downstream analysis of CNVs. This includes functionality for summarizing individual CNV calls across a population, assessing overlap with functional genomic regions, and genome-wide association analysis with gene expression and quantitative phenotypes. AVAILABILITY AND IMPLEMENTATION: http://bioconductor.org/packages/CNVRanger.
Vinícius da Silva, Marcel Ramos, Martien Groenen, Richard Crooijmans, Anna Johansson, Luciana C. A. Regitano, Luiz Coutinho, Ralf Zimmer, Levi Waldron, Ludwig Geistlinger
Bioinform.4