bioRxivBioinformaticsPreprint
Building a community-driven bioinformatics platform to facilitate Cannabis sativa multi-omics research
Locedie MansuetoiD, Tobias KretzschmariD, Ramil MauleoniD, Graham J.W. KingiD
Abstract
Global changes in Cannabis legislation after decades of stringent regulation, and heightened demand for its industrial and medicinal applications have spurred recent genetic and genomics research. An international research community emerged and identified the need for a web portal to host Cannabis-specific datasets that seamlessly integrates multiple data sources and serves omics-type analyses, fostering information sharing. The Tripal platform was used to host public genome assemblies, gene annotations, QTL and genetic maps, gene and protein expression, metabolic profile and their sample attributes. SNPs were called using public resequencing datasets on three genomes. Additional applications, such as SNP-Seek and MapManJS, were embedded into Tripal. A multi-omics data integration web-service API, developed on top of existing Tripal modules, returns generic tables of sample, property, and values. Use-cases demonstrate the APIs utility for various -omics analyses, enabling researchers to perform multi- omics analyses efficiently.
- organism: C. elegans
- assay: whole-genome sequencing
- assay: DNA methylation
- assay: metagenomics
- assay: proteomics
- research focus: database / resource
- research focus: benchmarking
- research focus: software / tool
- research focus: imputation
- approach: experimental assay
- Citations
- 2
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