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Robert Kerkhoven

dblp:58/3724 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genome annotation		 0.012004
Visualization for genomics: the Microbial Genome Viewer · Bioinform. 2004
Bioinformatics and computational biology › genomics
genome visualization		 0.012004
Visualization for genomics: the Microbial Genome Viewer · Bioinform. 2004
Bioinformatics and computational biology
genomics		 0.012004
Visualization for genomics: the Microbial Genome Viewer · Bioinform. 2004
Bioinformatics and computational biology
gene expression analysis		 0.012004
Visualization for genomics: the Microbial Genome Viewer · Bioinform. 2004
Bioinformatics and computational biology › gene expression analysis › gene expression visualization
microarray data visualization		 0.012004
Visualization for genomics: the Microbial Genome Viewer · Bioinform. 2004

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

scalable vector graphics · 0.0interactive visualization · 0.0
YearPublicationVenuePosition
2004 Visualization for genomics: the Microbial Genome Viewer
abstract
SUMMARY: A Web-based visualization tool, the Microbial Genome Viewer, is presented that allows the user to combine complex genomic data in a highly interactive way. This Web tool enables the interactive generation of chromosome wheels and linear genome maps from genome annotation data stored in a MySQL database. The generated images are in scalable vector graphics (SVG) format, which is suitable for creating high-quality scalable images and dynamic Web representations. Gene-related data such as transcriptome and time-course microarray experiments can be superimposed on the maps for visual inspection. AVAILABILITY: The Microbial Genome Viewer 1.0 is freely available at http://www.cmbi.kun.nl/MGV
Robert Kerkhoven, Frank H. J. van Enckevort, Jos Boekhorst, Douwe Molenaar, Roland J. Siezen
 Bioinform.1