Genome2DBacterial genome analysis made easy. | |
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Genome2D Ranking & Summary
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- License:
- Freeware
- Publisher Name:
- University of Groningen
- Operating Systems:
- Windows All
- File Size:
- 12.9 MB
Genome2D Tags
- viewer visualization view count bacterial colony count JPEG bacterial bacterial process bacterial Genome Browser Annotate Genome Visualize Genome Genome analyze genome genome analysis view multiple genome multiple genome viewer search genome genome analysis suite view genome data genome data viewer browse genome view genome bacterial identification genome language prokaryotic genome Arabidopsis genome analysis view Arabidopsis genome analyze Arabidopsis genome analyze bacterial genome Genome visualization Genome Viewer genome-wide association genome circular visualization genome sequence UCSC genome browser track manage genome track analyze human Genome Genome Calculator view genome file genome mapping genome map visualization genome hybridisation array display genome data human genome analysis human genome bacterial genome sequence Genome Explorer Quantitative Genome microbial genome characterize genome genome characterization view bacterial genome bacterial genome visualization
Genome2D Description
Genome2D is a handy, easy to use application designed to help you visualize a bacterial genome with all its individual genes on a single computer screen genome enables quick identification of biologically relevant information such as gene orientation, operon structure, transcriptional terminators or regulator binding sites. Using a simple input file subsets of genes can be visualized by single or multiple coloring or by a color gradient when values are used. The input file is a tab-delimited text file, comprising one column with the genes to be colored and one column indicating their colors or a value. When applied to DNA microarray data the values could represent differences in transcription levels. This feature enables easy and rapid identification of genes that are transcriptionally linked. In a multiple transcriptome analysis experiment, e.g. a measurement in time, all data sets can be loaded as separate input files and subsequently shown in animation. Thus, the changes in gene expression can be readily recognised. Note: Free for academic use only.
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