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  • 1
    Publication Date: 2016-10-04
    Description: : Visualizing and summarizing data from genomic studies continues to be a challenge. Here, we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor. Availability and Implementation: GenVisR is an R package available via Bioconductor ( https://bioconductor.org/packages/GenVisR ) under GPLv3. Support is available via GitHub ( https://github.com/griffithlab/GenVisR/issues ) and the Bioconductor support website. Contacts: obigriffith@wustl.edu or mgriffit@wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 2
    Publication Date: 2015-01-29
    Description: : A wealth of large-scale genome sequencing projects opens the doors to new approaches to study the relationship between genotype and phenotype. One such opportunity is the possibility to apply genotype networks analysis to population genetics data. Genotype networks are a representation of the set of genotypes associated with a single phenotype, and they allow one to estimate properties such as the robustness of the phenotype to mutations, and the ability of its associated genotypes to evolve new adaptations. So far, though, genotype networks analysis has rarely been applied to population genetics data. To help fill this gap, here we present VCF2Networks, a tool to determine and study genotype network structure from single-nucleotide variant data. Availability and implementation: VCF2Networks is available at https://bitbucket.org/dalloliogm/vcf2networks . Contact: giovanni.dallolio@kcl.ac.uk Supplementary information : Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Location Call Number Limitation Availability
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