RaggedExperiment: the missing link between genomic ranges and matrices in Bioconductor
Marcel Ramos1,2,3, Martin Morgan3, Ludwig Geistlinger1,2
1Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY 10027, United States.
Summary:
The RaggedExperiment R / Bioconductor package provides lossless representation of disparate genomic ranges across multiple specimens or cells, in conjunction with efficient and flexible calculations of rectangular-shaped summaries for downstream analysis. Applications include statistical analysis of somatic mutations, copy number, methylation, and open chromatin data. RaggedExperiment is compatible with multimodal data analysis as a component of MultiAssayExperiment data objects, and simplifies data representation and transformation for software developers and analysts.
Motivation And Results:
Measurement of copy number, mutation, single nucleotide polymorphism, and other genomic attributes that may be stored as VCF files produce "ragged" genomic ranges data: i.e. across different genomic coordinates in each sample. Ragged data are not rectangular or matrix-like, presenting informatics challenges for downstream statistical analyses. We present the RaggedExperiment R/Bioconductor data structure for lossless representation of ragged genomic data, with associated reshaping tools for flexible and efficient calculation of tabular representations to support a wide range of downstream statistical analyses. We demonstrate its applicability to copy number and somatic mutation data across 33 TCGA cancer datasets.
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
DNA Microarrays
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Friedman Two-way Analysis of Variance by Ranks
Genetic Variation
Genes exist in different versions called alleles,...


