domingo, 29 de marzo de 2015

Family Genome Browser: Visualizing Genomes with Pedigree Information. - PubMed - NCBI

Family Genome Browser: Visualizing Genomes with Pedigree Information. - PubMed - NCBI



 2015 Mar 18. pii: btv151. [Epub ahead of print]

Family Genome Browser: Visualizing Genomes with Pedigree Information.

Abstract

MOTIVATION:

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 (IBD) 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.

AVAILABILITY:

The FGB is available at http://mlg.hit.edu.cn/FGB/.

CONTACT:

ydwang@hit.edu.cn.
© The Author (2015). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

PMID:
 
25788626
 
[PubMed - as supplied by publisher]

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