We
lcome to Meander project.

Meander is a java standalone application for visualization of genomics ba
sed on Read Depth (RD) and Pair-End (PE) information. It is mainly developed to visually discover and explore structural variations in a genome. Meander utilizes both a linear (1024 pixels) and a Hilbert curve-based representation (2D plane of 512x512 pixels) to visualize genomic variations. It is able to show data 5 different resolution levels while it can additionally overlay already predicted variations from external software. It supports a  comparison of four different samples a
gainst a common reference simultaneously while it is able to highlihght SVs  supported by double evidence (RD + PE)

Meander is a powerful, easy-to-use tool for comparative genomics aiming to aid researchers in identifying SVs that might be causative for various genetic disorders.

URL: http://homes.esat.kuleuven.be/~bioiuser/meander/
 
Basic features
  • Read-Depth (RD )Information
  • Pair-End (PE) information
  • Switching between views for RD only, RP only or combination of RD+RP to show double evidence for a variation
  • Hilbert curve-based visualization (512x512 pixels)
  • Linear Visualization (512 pixels)
  • Visualization of sample or reference individually
  • Comparison between up to four samples against a reference simultaneously
  • Rich color schemes to show various types of structural inter/intra chromosomal variations
 
  • Interactive zooming
  • Interactive data filtering
  • Dynamic navigation
  • Overlay of predicted structural variations
  • Zooming in at five different resolutions
  • Data integration with UCSC genome browser
  • Highlighting areas and variations of double evidence (RD+RP information)
  • Java-based Standalone application for any platform (programmed in Java and processing.org languages)
  • Open source

Please cite: 
Meander: visually exploring the structural variome using space-filling curves.
Pavlopoulos GA, Sifrim A, Sakai R, Kumar PD, Voet T, Moreau Y, Aerts J.
Nucleid Acid Research
 2013, 1:9 doi:10.1093/nar/gkt254 PMID:23605045