RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms
Nanjing Forestry University · Wageningen University & Research · +2 more institutions
Abstract
Owing to the rapid advances in DNA sequencing technologies, whole genome from more and more species are becoming available at increasing pace. For whole-genome analysis, idiograms provide a very popular, intuitive and effective way to map and visualize the genome-wide information, such as GC content, gene and repeat density, DNA methylation distribution, genomic synteny, etc. However, most available software programs and web servers are available only for a few model species, such as human, mouse and fly, or have limited application scenarios. As more and more non-model species are sequenced with chromosome-level assembly being available, tools that can generate idiograms for a broad range of species and be capable of visualizing more data types are needed to help better understanding fundamental genome characteristics.
allows users to build high-quality idiograms of any species of interest. It can map continuous and discrete genome-wide data on the idiograms and visualize them in a heat map and track labels, respectively.
Citation impact
- FWCI
- 24.01
- Percentile
- 100%
- References
- 27
Authors
7Topics & keywords
- Scalable Vector Graphics
- Genome
- Visualization
- Genome browser
- Computer science
- Synteny
- Reference genome
- Sequence assembly