Getting poster data...
Georgios A. Pavlopoulos, Alejandro Sifrim, Ryo Sakai, Jan Aerts (Katholieke Universiteit Leuven, Depatment of Electrical Engineering (ESAT), Leuven, Belgium)Meander is a java stand-alone application to visualize read-depth coverage from NGS and investigate inter-chromosome structural variations (currently deletions and duplications). Users can compare chromosomes (sample vs reference) directly or overlay CNVs predicted by external software. It is highly interactive and it utilizes a 2D Hilbert space to visualize the information. Meander uses a 2D plane of 512x512 pixels. Chromosome is computationally split into 262.144 buckets, each one holding the average coverage of the nucleotides that belong to the specific bucket. Each pixel on the Hilbert curve represents the read-depth coverage of the bucket. The coverage value is then mapped to a color by adjusting the alpha value scale. Thus, the higher the coverage is, the darker the pixel appears and vice versa. In addition to the Hilbert representation, Meander also uses a linear representation of 512 pixels in length to show read-depth coverage at a lower resolution using bar charts. Each bar represents the average coverage of the nucleotide of each of the 512 buckets. Meander is able to visualize data at 5 different zoom-levels.