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

• Published in: PeerJ. Computer science Vol. 6; p. e251
• Main Authors: Hao, Zhaodong, Lv, Dekang, Ge, Ying, Shi, Jisen, Weijers, Dolf, Yu, Guangchuang, Chen, Jinhui
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 20.01.2020; PeerJ, Inc; PeerJ Inc
• Subjects: Analysis; Animal behavior; Annotations; Binding sites; Bioinformatics; Chromosome; Chromosomes; Data Science; Data visualization; Deoxyribonucleic acid; DNA; DNA methylation; DNA sequencing; Gene expression; Gene sequencing; Genes; Genome; Genomes; Genomics; Graphics; Idiogram; Language; Mapping; Methylation; MicroRNAs; Pictographs; R package; Servers; Servers (Computers); Software; Technology; Visual Analytics; Visualization; Visualization (Computer); Chromosome; Genome; Data visualization; Idiogram; R package

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...