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LoVis4u: a locus visualization tool for comparative genomics and coverage profiles
Artyom A Egorov1, Gemma C Atkinson1
1Department of Experimental Medical Science, Lund University, 221 84, Lund, Sweden.
LoVis4u is a new Python tool for fast, customizable visualization of genomic alignments. It generates publication-ready vector images from GenBank or GFF files, aiding comparative genomics research.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Comparative genomic analysis frequently requires visualization of aligned genomic loci.
- Existing software tools offer limited options for fast, automated, and publication-ready vector image generation.
Purpose of the Study:
- To introduce LoVis4u, a novel command-line tool and Python API for efficient and customizable visualization of multiple genomic loci.
- To provide a solution for generating publication-ready vector images from genomic data.
Main Methods:
- LoVis4u utilizes GenBank or GFF files for annotation data to generate PDF vector images.
- The tool supports visualization of bacteriophage genomes, plasmids, and user-defined prokaryotic genome regions.
- It includes optional data processing for identifying core and accessory genes and visualizing genomic signal track profiles.
Main Results:
- LoVis4u offers fast and highly customizable visualization of genomic loci.
- The tool produces publication-ready vector images in PDF format.
- It effectively visualizes diverse genomic elements including entire genomes, plasmids, and signal tracks.
Conclusions:
- LoVis4u addresses the need for an efficient and automated tool for genomic visualization in comparative genomics.
- Its flexibility and output quality make it valuable for researchers in bioinformatics and genomics.
- The tool is implemented in Python 3, available on Linux and MacOS, with a command-line interface and Python API.
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