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Easyfig: a genome comparison visualizer

descriptionPublicationkeyboard_double_arrow_right Article 28 Jan 2011 Australia English Publisher:Oxford University Press (OUP)Journal:Bioinformatics, volume 27, pages 1,009-1,010 (issn: 1367-4803, eissn: 1367-4811, Copyright policy )Funded by:ARC | The evolution of bacteria..., NHMRC | Pathogenomics: new ways t...
Authors: Mitchell J. Sullivan; Nicola K. Petty; Scott A. Beatson;

doi: 10.1093/bioinformatics/btr039

pmid: 21278367

pmc: PMC3065679

Easyfig: a genome comparison visualizer

Abstract

Abstract Summary: Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface. BLAST comparisons between multiple genomic regions, ranging from single genes to whole prokaryote chromosomes, can be generated, visualized and interactively coloured, enabling a rapid transition between analysis and the preparation of publication quality figures. Availability: Easyfig is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from the SourceForge web site: http://easyfig.sourceforge.net/. Contact: s.beatson@uq.edu.au

Country
Australia
Related Organizations
Keywords

Biochemistry & Molecular Biology, 1303 Biochemistry, Statistics & Probability, Biochemical Research Methods, 1312 Molecular Biology, 1706 Computer Science Applications, Computer Graphics, Interdisciplinary Applications, 2613 Statistics and Probability, Genome, BIOTECHNOLOGY & APPLIED MICROBIOLOGY, Genomics, Applications Note, MATHEMATICAL & COMPUTATIONAL BIOLOGY, 2700 Medicine, Biotechnology & Applied Microbiology, Computer Science, Computer Science, Interdisciplinary Applications, Mathematical & Computational Biology, 2605 Computational Mathematics, Mathematics, BIOCHEMICAL RESEARCH METHODS, Software, 1703 Computational Theory and Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3K
Top 0.01%
Top 0.1%
Top 1%
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