title: Family genome browser: visualizing genomes with pedigree information.
abstract: BACKGROUND
  Families with inherited diseases are widely used in Mendelian/complex disease studies. Owing to the advances in high-throughput sequencing technologies, family genome sequencing becomes more and more prevalent. Visualizing family genomes can greatly facilitate human genetics studies and personalized medicine. However, due to the complex genetic relationships and high similarities among genomes of consanguineous family members, family genomes are difficult to be visualized in traditional genome visualization framework. How to visualize the family genome variants and their functions with integrated pedigree information remains a critical challenge.
  
  
  RESULTS
  We developed the Family Genome Browser (FGB) to provide comprehensive analysis and visualization for family genomes. The FGB can visualize family genomes in both individual level and variant level effectively, through integrating genome data with pedigree information. Family genome analysis, including determination of parental origin of the variants, detection of de novo mutations, identification of potential recombination events and identical-by-decent segments, etc., can be performed flexibly. Diverse annotations for the family genome variants, such as dbSNP memberships, linkage disequilibriums, genes, variant effects, potential phenotypes, etc., are illustrated as well. Moreover, the FGB can automatically search de novo mutations and compound heterozygous variants for a selected individual, and guide investigators to find high-risk genes with flexible navigation options. These features enable users to investigate and understand family genomes intuitively and systematically.
  
  
  METHODS
  The FGB is available at http://mlg.hit.edu.cn/FGB/.
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Liran
authors: L
authors: Juan
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Yongzhuang
authors: Y
authors: Liu
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Yongtian
authors: Y
authors: Wang
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Mingxiang
authors: M
authors: Teng
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Tianyi
authors: T
authors: Zang
authors: Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
authors: Yadong
authors: Y
authors: Wang
mesh_terms: D003196:Computer Graphics; D014644:Genetic Variation; D015894:Genome, Human; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D058977:Molecular Sequence Annotation; D010375:Pedigree; D012984:Software