articlePeerJ Computer ScienceJan 20, 2020GOLD OA

RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms

Nanjing Forestry University · Wageningen University & Research · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

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.

Results

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

578
total citations
FWCI
24.01
Percentile
100%
References
27
Citations per year

Authors

7

Topics & keywords

Keywords
  • Scalable Vector Graphics
  • Genome
  • Visualization
  • Genome browser
  • Computer science
  • Synteny
  • Reference genome
  • Sequence assembly
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Funding