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genoPlotR: comparative gene and genome visualization in R
Lionel Guy1, Jens Roat Kultima, Siv G E Andersson
1Department of Molecular Evolution, Uppsala University, Uppsala, Sweden. lionel.guy@ebc.uu.se
Next-generation sequencing generates vast gene and genome data, requiring advanced visualization. genoPlotR offers an automatic, reproducible R package for creating publication-grade comparative genomics maps.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Next-generation sequencing technologies produce large volumes of gene and genome data.
- Existing comparative genomics visualization tools have limitations.
- There is a need for efficient and automated tools for exploring genomic data.
Purpose of the Study:
- To introduce genoPlotR, a novel R package for comparative genomics visualization.
- To provide a flexible and reproducible method for generating linear maps of genes and genomes.
- To complement existing software for genomics data comparison and exploration.
Main Methods:
- genoPlotR is an R package designed for automated generation of linear maps.
- It facilitates the comparison and exploration of gene and genome data.
- The package is platform-independent and offers a reproducible workflow.
Main Results:
- genoPlotR automatically creates publication-grade linear maps of genes and genomes.
- It provides a flexible and highly automated approach to comparative genomics visualization.
- The tool ensures reproducibility in data analysis and map generation.
Conclusions:
- genoPlotR addresses the need for effective visualization tools in the era of big genomic data.
- The R package offers a user-friendly, automated, and reproducible solution for comparative genomics.
- It is a valuable addition to the bioinformatics toolkit for researchers working with large-scale genomic datasets.
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