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chromoWIZ: a web tool to query and visualize chromosome-anchored genes from cereal and model genomes

Overview of attention for article published in BMC Plant Biology, December 2014
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Title
chromoWIZ: a web tool to query and visualize chromosome-anchored genes from cereal and model genomes
Published in
BMC Plant Biology, December 2014
DOI 10.1186/s12870-014-0348-6
Pubmed ID
Authors

Thomas Nussbaumer, Karl G Kugler, Wolfgang Schweiger, Kai C Bader, Heidrun Gundlach, Manuel Spannagl, Naser Poursarebani, Matthias Pfeifer, Klaus FX Mayer

Abstract

BackgroundOver the last years reference genome sequences of several economically and scientifically important cereals and model plants became available. Despite the agricultural significance of these crops only a small number of tools exist that allow users to inspect and visualize the genomic position of genes of interest in an interactive manner.DescriptionWe present chromoWIZ, a web tool that allows visualizing the genomic positions of relevant genes and comparing these data between different plant genomes. Genes can be queried using gene identifiers, functional annotations, or sequence homology in four grass species (Triticum aestivum, Hordeum vulgare, Brachypodium distachyon, Oryza sativa). The distribution of the anchored genes is visualized along the chromosomes by using heat maps. Custom gene expression measurements, differential expression information, and gene-to-group mappings can be uploaded and can be used for further filtering.ConclusionsThis tool is mainly designed for breeders and plant researchers, who are interested in the location and the distribution of candidate genes as well as in the syntenic relationships between different grass species. chromoWIZ is freely available and online accessible at http://mips.helmholtz-muenchen.de/plant/chromoWIZ/index.jsp.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Chile 1 3%
Australia 1 3%
Unknown 28 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 38%
Student > Ph. D. Student 9 28%
Student > Bachelor 3 9%
Other 2 6%
Professor 1 3%
Other 2 6%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 66%
Biochemistry, Genetics and Molecular Biology 4 13%
Mathematics 1 3%
Computer Science 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 4 13%