A versatile set of computational tools for inference of genetic ancestry from human molecular data
Molecular properties of human diseases and conditions often exhibit dependence on the genetic ancestry of the donor. In order to make more human molecular data available for ancestry-informed research, we developed a set of software tools termed Robust Ancestry Inference using Data Synthesis (RAIDS) for inference of genetic ancestry from sequence data that pose challenges to genotyping. Here we…
The development of computational tools for inferring genetic ancestry from human molecular data is crucial for expanding the availability of such information. The research team has created a versatile set of software tools called Robust Ancestry Inference using Data Synthesis (RAIDS). RAIDS is designed to infer genetic ancestry even when faced with challenges posed by various experimental strategies used to obtain sequence data.
RAIDS can handle data derived from whole-genome sequencing, whole-exome sequencing, targeted gene panel sequencing, RNA-Seq, including single-cell RNA-Seq, chromatin-accessibility (ATAC-Seq), and protein-binding (ChIP-Seq) assays. The tools are particularly effective when dealing with somatic nucleic-acid alterations caused by cancer and situations where there is extreme non-uniformity in sequence read coverage.
The inferential capabilities of RAIDS allow for the determination of both global ancestry and ancestral admixtures of the donor. This robustness makes RAIDS a valuable resource for researchers working with human molecular data. The software is accessible as an eponymous Bioconductor package, making it readily available for use in the research community.
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