title: GenPlay Multi-Genome, a tool to compare and analyze multiple human genomes in a graphical interface.
abstract: CONCLUSIONS
  Parallel visualization of multiple individual human genomes is a complex endeavor that is rapidly gaining importance with the increasing number of personal, phased and cancer genomes that are being generated. It requires the display of variants such as SNPs, indels and structural variants that are unique to specific genomes and the introduction of multiple overlapping gaps in the reference sequence. Here, we describe GenPlay Multi-Genome, an application specifically written to visualize and analyze multiple human genomes in parallel. GenPlay Multi-Genome is ideally suited for the comparison of allele-specific expression and functional genomic data obtained from multiple phased genomes in a graphical interface with access to multiple-track operation. It also allows the analysis of data that have been aligned to custom genomes rather than to a standard reference and can be used as a variant calling format file browser and as a tool to compare different genome assembly, such as hg19 and hg38.
  
  
  METHODS
  GenPlay is available under the GNU public license (GPL-3) from http://genplay.einstein.yu.edu. The source code is available at https://github.com/JulienLajugie/GenPlay.
authors.affiliation: Department of Cell Biology, Albert Einstein College of Medicine, New York, NY 10461, USA.
authors.forename: Julien
authors.initials: J
authors.lastname: Lajugie
authors.affiliation: Department of Cell Biology, Albert Einstein College of Medicine, New York, NY 10461, USA.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Fourel
authors.affiliation: Department of Cell Biology, Albert Einstein College of Medicine, New York, NY 10461, USA.
authors.forename: Eric E
authors.initials: EE
authors.lastname: Bouhassira
mesh_terms: D003196:Computer Graphics; D030541:Databases, Genetic; D015894:Genome, Human; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software