Synima: a Synteny imaging tool for annotated genome assemblies

Rhys A Farrer (Corresponding Author)

Research output: Contribution to journalArticle

4 Citations (Scopus)
4 Downloads (Pure)

Abstract

BACKGROUND: Ortholog prediction and synteny visualization across whole genomes are valuable methods for detecting and representing a range of evolutionary processes such as genome expansion, chromosomal rearrangement, and chromosomal translocation. Few standalone methods are currently available to visualize synteny across any number of annotated genomes.

RESULTS: Here, I present a Synteny Imaging tool (Synima) written in Perl, which uses the graphical features of R. Synima takes orthologues computed from reciprocal best BLAST hits or OrthoMCL, and DAGchainer, and outputs an overview of genome-wide synteny in PDF. Each of these programs are included with the Synima package, and a pipeline for their use. Synima has a range of graphical parameters including size, colours, order, and labels, which are specified in a config file generated by the first run of Synima - and can be subsequently edited. Synima runs quickly on a command line to generate informative and publication quality figures. Synima is open source and freely available from https://github.com/rhysf/Synima under the MIT License.

CONCLUSIONS: Synima should be a valuable tool for visualizing synteny between two or more annotated genome assemblies.

Original languageEnglish
Article number507
Number of pages4
JournalBioMed Central Bioinformatics
Volume18
Issue number1
DOIs
Publication statusPublished - 21 Nov 2017

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Synteny
Genome
Genes
Imaging
Imaging techniques
Translocation
Rearrangement
Hits
Genetic Translocation
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Keywords

  • Synteny
  • imaging tool
  • orthology
  • visualization

Cite this

Synima : a Synteny imaging tool for annotated genome assemblies. / Farrer, Rhys A (Corresponding Author).

In: BioMed Central Bioinformatics, Vol. 18, No. 1, 507, 21.11.2017.

Research output: Contribution to journalArticle

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